AI - Recruiter Remote: India /Srilanka-Full Time  

About the Role

We are looking for an early-career People & Operations professional to support our talent acquisition efforts. This role is ideal for someone interested in people, technology, and business growth, who wants hands-on experience in recruiting and operational support.

Key Responsibilities

• Support end-to-end recruiting processes
• Post job openings on job boards and social platforms
• Conduct active sourcing using LinkedIn
• Screen resumes and conducts initial interviews
• Coordinate interview schedules
• Maintain candidate pipeline and ATS
• Provide timely feedback to candidates
• Support recruiting metrics and reporting
• Flexibility to overlap with candidate availability (time zones)

Requirements

• 2+ years of experience in recruitment or HR
• Experienced in acquiring talent across India and Srilanka
• Basic experience using LinkedIn
• Strong organizational and communication skills
• Proactive and eager to learn
• Ability to work independently in a remote setting
• English: Advanced

Nice to Have

• Exposure to IT or tech recruiting
• Experience with international or remote teams
• Familiarity with ATS tools

Compensation

• Industry Standards

Job Title: AI First Scrum Master

Role Overview

AI-First Scrum Master (Fully-remote / India / Full-time (40 hrs/week))  Description  We're looking for a delivery-obsessed Scrum Master ready to redefine what agile leadership looks like with AI as your co-pilot. Think less ceremony for ceremony's sake, more intelligent retrospectives and predictive sprint planning. Here, AI isn't just a shortcut—it's your force multiplier, transforming your facilitation instincts into a superpower. Imagine surfacing team impediments before they derail a sprint, generating data-driven insights on team velocity in seconds, and coaching high-performing squads that ship with confidence.  This role is about pushing the boundaries of agile delivery. You'll be at the forefront of building AI-augmented Scrum practices that keep teams focused, unblocked, and continuously improving. Your mission is to ensure our engineering teams deliver enterprise software solutions that are not just on time, but exceptional—leading the market in reliability, speed, and team health.  We want driven, empathetic, and innovative servant leaders ready to explore new horizons in agile coaching. We're charting a new course in how software gets planned and shipped, with AI as our guide. Are you up for the challenge?  What you will be doing 

• Embedding AI into agile workflows from the ground up—from sprint planning and backlog refinement to retrospective analysis and impediment tracking. 

• Leveraging AI-powered tools to surface velocity trends, predict delivery risks, and generate actionable insights that keep teams and stakeholders aligned. 

• Crafting AI-assisted sprint summaries, release readiness reports, and retrospective outputs to streamline communication and accelerate team learning. 

• Championing a culture of continuous improvement—showcasing how AI elevates the agile process with faster feedback loops, smarter prioritization, and better outcomes. 

• Facilitating all Scrum ceremonies with purpose and energy, shielding teams from distractions and driving accountability across squads. 

What you will NOT be doing 

• Getting lost in status reporting and manual tracking. With AI, you'll have real-time delivery intelligence at your fingertips—leaving spreadsheet wrangling behind. 

• Acting as a project manager or task assigner. You'll be a true servant leader, empowering self-organizing teams rather than directing them. 

Key responsibilities 

• Drive the adoption of AI-augmented agile practices across squads, setting new standards in delivery predictability, team engagement, and stakeholder confidence across our product suite. 

Candidate Requirements 

• At least 2 years of experience as a Scrum Master or Agile Coach in a software engineering environment 

• Certified Scrum Master (CSM, PSM I, or equivalent) strongly preferred 

• Demonstrated experience facilitating Scrum ceremonies and coaching teams on agile principles and self-organization 

• Hands-on experience with agile project management tools such as Jira, Azure DevOps, or similar 

• Familiarity with scaling frameworks (SAFe, LeSS, or Nexus) is a plus 

• Professional experience using GenAI tools such as KAVIA, Copilot, or similar to accelerate productivity, generate reports, and surface delivery insights 

 

Job Title: QA Automation Engineer (2–4 Years Experience)

Location:

  AI-First Software Engineer (Fully-remote/India/SriLAnka /Full-time (40 hrs/week))  Description  We're looking for quality-obsessed trailblazers ready to redefine what testing and automation can look like with AI as their co-pilot. Think less manual regression, more intelligent validation. Here, AI isn't just a shortcut—it's your force multiplier, transforming your QA instincts into a superpower. Imagine generating comprehensive test suites in minutes, predicting failure points before they hit production, and delivering rock-solid software that earns genuine customer trust.  This role is about pushing the boundaries of quality engineering. You'll be at the forefront of building AI-augmented test frameworks that catch what humans miss, using the latest technology to evolve your automation skills to an elite level. Your mission is to ensure our enterprise software solutions are not just functional, but flawless—leading the market in reliability, performance, and user experience.  We want driven, curious, and innovative individuals ready to explore new horizons in quality assurance. We're charting a new course in how software gets tested and shipped, with AI as our guide. Are you up for the challenge?  What you will be doing 

• Implementing AI from the ground up in QA workflows, enhancing everything from test case generation to root cause analysis. 

• Building AI-powered automation frameworks that provide intelligent, self-healing test coverage across products and platforms. 

• Crafting AI-generated test summaries and quality reports to streamline knowledge sharing across teams, boosting overall engineering efficiency. 

• Showcasing how AI elevates the quality process—faster coverage, smarter detection, better outcomes. 

What you will NOT be doing 

• Spending your days on tedious manual test execution. With AI, you'll identify, triage, and resolve quality issues swiftly—leaving outdated methods behind. 

• Getting buried in project management. Stay focused on what you do best—building robust automation and engineering quality into every release. 

Key responsibilities 

• Drive the integration of AI into our quality engineering process, setting new standards in test coverage, release confidence, and customer satisfaction across our product suite. 

  Candidate requirements 

• At least 2 years of experience in quality assurance or test automation engineering 

• Primary proficiency in Java and/or C# for building and maintaining automation frameworks 

• Hands-on experience with cloud environments (such as Lambda, EC2, PaaS, containerization, EKS, ECS, etc.) and testing within them 

• Experience with modern automation tools and frameworks (e.g., Selenium, Playwright, REST Assured, or similar) 

• Professional experience using GenAI tools such as KAVIA, Co-Pilot to accelerate productivity and test creation 

     

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the India, Srilanka, U.S.and Mexico collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are seeking a AI Full Stack Developer who combines deep technical expertise with strong leadership capabilities. In this role, you will  design, execute technical strategy and develop the GenAI architecture.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients . Contract Type: Full Time. Location: Remote – Anywhere in TamilNadu(India)/Srilanka Key responsibilities  : Hands-On Development 

• Implement Fullstack features using React.js/Next.js and Python/Node.js backends. 
• Build and optimize LLM pipelines from experimentation to production. 
• Develop advanced prompt engineering frameworks and strategies. 
• Conduct rigorous model evaluations and performance optimizations. 
• Design and implement CI/CD pipelines for AI systems. 

Candidate requirements 

• 2+ years of software engineering experience
• Strong  fullstack development skills using React.js, Next.js, and TypeScript
• Proficiency in Python (FastAPI) and/or Node.js for backend services. 
• Hands-on experience building and deploying LLM or GenAI applications in production.
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.
• Solid knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Experience with Terraform, DuploCloud, and CI/CD pipelines (GitHub Actions or similar).
• Proven ability to collaborate in cross-functional teams, review code, and uphold high engineering standards. 

 Good to have 

• Experience with fine-tuning or training LLMs. 
• Familiarity with LangChain, LlamaIndex, or similar frameworks. 
• Experience with A/B testing, experimentation frameworks, or open-source AI contributions. 
• Uphold high engineering standards. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: India, Sri Lanka, U.S., Mexico
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are seeking a Junior AI-First Full Stack Engineer / FDE eager to grow in both application development and DevOps environments. Candidates may come from either a Full Stack or DevOps background but must demonstrate coding capability and strong learning agility.  Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only

Key Responsibilities:

• Support development of full stack applications using modern frameworks. 
• Assist with deployment workflows, CI/CD, and infrastructure tasks. 
• Debug and troubleshoot issues across application and infrastructure layers. 
• Collaborate with senior engineers on architecture and implementation. 

Qualifications:

• 1–3 years of professional software engineering experience. 
• Hands-on experience with React.js and Python and/or Node.js. 
• Foundational understanding of APIs, backend services, and DevOps basics. 
• Strong problem-solving mindset and learning agility. 

Nice to Have:

• Exposure to GenAI or AI tools/projects. 
• Basic experience with cloud platforms. 
• Familiarity with containerization or CI/CD tools. 

What Success Looks Like:

A successful FDE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are looking for a Mid-Level AI-First Full Stack Engineer / FDE with strong engineering fundamentals and hands-on experience across Full Stack development and/or DevOps environments. This role is ideal for engineers who can operate across application layers and infrastructure, with an AI-first mindset. Candidates may come from a Full Stack background with DevOps exposure or a DevOps/Infrastructure background with strong coding capabilities.  Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only

Key Responsibilities:

• Design and build scalable applications using modern full stack technologies. 
• Contribute to infrastructure, CI/CD pipelines, and deployment workflows. 
• Support production deployments and troubleshoot real-world system issues. 
• Collaborate with Product and Engineering teams to translate requirements into technical solutions. 
• Participate in customer-facing technical discussions when needed. 

Qualifications:

• 3–6 years of hands-on software engineering experience. 
• Strong proficiency in React.js and Python and/or Node.js. 
• Solid understanding of APIs, distributed systems, and DevOps practices (CI/CD, containers, cloud environments). 
• Experience working in production environments. 
• Strong communication skills and ownership mindset. 

Nice to Have:

• Some exposure to GenAI or AI-driven systems. 
• Experience with AWS, Azure, or GCP. 
• Experience deploying solutions in enterprise environments. 

What Success Looks Like:

A successful FDE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

As a Forward Deployed Engineer, you will be responsible for deploying, adapting, and scaling technical solutions for enterprise customers. You will act as a technical owner for customer engagements, translating business needs into robust engineering solutions while maintaining a high bar for code quality, system design, and long-term maintainability. Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only

Key Responsibilities:

• Work directly with enterprise customers in a client-facing capacity to understand technical and business requirements.
• Design, build, and deploy hands-on engineering solutions tailored to customer environments.
• Collaborate closely with Product, Engineering, and Customer Success teams to influence product direction.
• Own technical implementations end-to-end, from discovery and design to deployment and iteration.
• Act as a trusted technical advisor for customers, helping them adopt and scale solutions successfully.
• Debug, optimize, and extend existing systems in production environments.
• Provide technical leadership during customer engagements, including best practices, architecture guidance, and trade-off discussions.
• Document solutions, architectures, and learnings to support internal knowledge sharing.

Qualifications:

• 8+ years of professional software engineering experience. 
• Strong hands-on software engineering experience (full-stack, backend, or platform-focused).
• Experience working in customer-facing or client-facing technical roles.
• Solid understanding of system design, APIs, and distributed systems fundamentals.
• Proficiency in at least one modern programming language (e.g., Python, JavaScript/TypeScript, Java, Go).
• Ability to quickly understand complex systems and adapt solutions to different environments.
• Strong communication skills and comfort working directly with enterprise stakeholders.
• Ownership mindset with the ability to lead technical initiatives independently.

Nice to Have:

• Experience deploying solutions in enterprise or regulated environments.
• Background in cloud platforms (AWS, Azure, or GCP).
• Exposure to AI, GenAI, or data-driven systems.
• Previous experience influencing product roadmaps based on customer feedback.
• Comfort working in fast-paced, ambiguous environments.

What Success Looks Like:

A successful FDE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the India, Srilanka, U.S.and Mexico collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are seeking a Senior Tech Lead who combines deep technical expertise with strong leadership capabilities. In this role, you will  design, execute technical strategy and lead the GenAI architecture. You will Mentor and guide a team of Full-Stack and AI engineers.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients . Contract Type: Full Time. Location: Remote – Anywhere in TamilNadu(India) Key responsibilities 

• Technical Leadership 
• Design and lead the GenAI architecture, making key decisions on model selection, pipeline design, and scalability.
• Experience in project Sizing and Estimation
• Define and execute the technical strategy and roadmap for AI/ML initiatives.
• Lead architectural reviews and ensure engineering excellence across the stack.
• Mentor and guide a team of Full-Stack and AI engineers.
• Establish best practices for LLM development, evaluation, and deployment.
• Hands-On Development
• Build and optimize LLM pipelines from experimentation to production.
• Develop advanced prompt engineering frameworks and strategies.
• Implement Full-Stack features using React.js/Next.js and Python/Node.js backends.
• Conduct rigorous model evaluations and performance optimizations.
• Design and implement CI/CD pipelines for AI systems.
• Infrastructure & Operations
• Architect and maintain AWS-based infrastructure for AI workloads.
• Use Terraform and DuploCloud to implement infrastructure as code.
• Ensure system reliability, security, and cost optimization.
• Build monitoring and observability tools for LLM applications.

Candidate requirements 

• 7+ years of software engineering experience, including 2+ in technical leadership.
• Strong Full-Stack development skills using React.js, Next.js, and TypeScript.
• Experience working on Agile development projects.
•  Experience in using Jira and Jira reporting.
• Proficiency in Python (FastAPI) and/or Node.js for backend services.
• Hands-on experience building and deploying LLM or GenAI applications in production.
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.
• Solid knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Experience with Terraform, DuploCloud, and CI/CD pipelines (GitHub Actions or similar).
• Strong system design, API architecture, and microservices background.
• Proven ability to lead cross-functional teams, review code, and uphold high engineering standards. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: India, Sri Lanka, U.S., Mexico
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: Remote – Anywhere in Netherlands (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: Remote – Anywhere in Germany (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: Remote – Anywhere in Italy (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: Toronto (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week). (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Eligibility U.S. Citizens or Green Card holders only.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: New York (PST-friendly preferred).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Eligibility U.S. Citizens or Green Card holders only.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Forward-Deployed Integration Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.  Contract Type: Contract-to-Hire (initial 6 weeks – 3-month contract with potential conversion to full-time). Location: Remote – Anywhere in the United States (PST-friendly preferred). Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week).

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Eligibility U.S. Citizens or Green Card holders only.