AI FIRST – Principal Engineer 

Tamil Nadu (Remote) – Full-time (40 hrs/week) 

Experience: 8–10 Years 

Job Description 

We’re looking for a Principal Engineer to serve as a technical anchor for our AI-first engineering organization. In this role, you’ll drive the architecture and technical direction of our most complex systems, define engineering standards across the team, and ensure our AI-powered products are built to scale. You’ll work closely with the Tech Lead and senior stakeholders to translate business goals into robust, forward-thinking technical solutions — while also being deeply hands-on when it matters. 

Key Responsibilities 

Full Stack Development 

• Lead the technical design of large-scale, cross-cutting full-stack initiatives. 

• Define and enforce engineering standards, patterns, and best practices across teams. 

• Implement full-stack features using React.js, Next.js, and TypeScript on the frontend, with Python (FastAPI) and/or Node.js backends. 

• Architect and oversee microservices, APIs, and service integration strategies. 

• Own and evolve AWS-based infrastructure for web and backend workloads, using Terraform for infrastructure as code. 

• Lead containerization and orchestration strategy using Docker and Kubernetes. 

• Drive system reliability, security architecture, and cost optimization across services. 

• Size and estimate projects across full-stack and AI workstreams; guide planning and prioritization. 

• Operate within an Agile delivery model, using Jira for planning and cross-team coordination. 

• Mentor senior and mid-level engineers; champion high engineering standards through code and design reviews. 

AI Engineering 

• Set the technical direction for GenAI development, including model selection, pipeline architecture, and scalability strategy. 

• Define and own best practices for LLM development, evaluation, and production deployment. 

• Architect end-to-end LLM pipelines from experimentation to production, including RAG systems and retrieval infrastructure. 

• Develop and standardize advanced prompt engineering frameworks across the team. 

• Lead rigorous model evaluations and define performance optimization strategies. 

• Design and oversee CI/CD pipelines tailored for AI systems. 

• Architect and maintain AWS-based infrastructure for AI workloads (SageMaker, etc.). 

• Build and evolve monitoring, observability, and evaluation tooling for LLM applications. 

Candidate Requirements 

• 8–10 years of software engineering experience, including meaningful time in senior or lead roles. 

• Deep full-stack development expertise using React.js, Next.js, and TypeScript. 

• Strong proficiency in Python (FastAPI) and/or Node.js for backend services. 

• Proven track record of building and deploying LLM or GenAI applications in production at scale. 

• Deep understanding of prompt engineering, LLM evaluation, and RAG systems. 

• Expert-level knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes. 

• Strong experience with Terraform and CI/CD pipelines (GitHub Actions or similar). 

• Excellent background in system design, API architecture, distributed systems, and microservices. 

• Experience driving engineering standards, cross-team alignment, and technical decision-making. 

• Strong communication skills — able to influence technical direction with peers and leadership. 

Good to Have 

• Experience with fine-tuning, RLHF, or training LLMs. 

• Familiarity with LangChain, LlamaIndex, or similar frameworks. 

• Background in MLOps, model monitoring, and AI observability. 

• Experience with A/B testing and experimentation frameworks. 

• Open-source contributions or thought leadership in GenAI or distributed systems.