Full Stack Technical Lead/Developer - AI

Job Overview

About the role

Full Stack Technical Lead/Developer - AI Location: Chennai / Remote Type: Full - time Experience: 10+ Years

About the Role

We are looking for a Full Stack Technical Lead who can architect and lead the development of next - generation AI - powered applications while mentoring a high - performing engineering team. You will own the technical vision, drive best practices, and deliver pr oduction - ready full - stack solutions that form the foundation of Agentic AI and Generative AI / RAG - based products for a leading MNC organisation. If you are a seasoned full - stack developer with proven technical leadership skills, architectural thinking, and a genuine interest in AI, this is the role for you. You will be the go - to technical expert who shapes team culture, raises engineering standards, and bridges the gap between AI innovation and robust software engineering.

Core Responsibilities

• Technical Leadership: Architect end - to - end full - stack solutions, make critical technical decisions, and define technical direction for your team and projects
• Code Quality & Standards: Establish and enforce coding standards, review code for quality and architecture, and mentor the team on best practices
• Team Mentorship: Guide and develop junior and mid - level developers, conduct code reviews with constructive feedback, and foster a culture of continuous learning
• Full - Stack Development: Build and maintain production - ready applications across frontend, backend, and API layers — design, implement, and own what you build
• AI Integration Leadership: Lead integration of Generative AI and RAG - based features into full - stack products; work closely with AI specialists to ensure seamless and scalable AI implementation
• API Design & Consumption: Design and consume RESTful APIs that power integrations with AI services, third - party platforms, and microservices
• DevOps & Infrastructure: Lead or support DevOps activities including architecture decisions, containerization, CI/CD pipeline optimization, deployments, and cloud infrastructure management
• Performance & Reliability: Own the reliability, security, and performance of systems you build; identify bottlenecks, optimize code and infrastructure, and drive continuous improvement
• Stakeholder Engagement: Collaborate with product, design, and leadership teams; translate business requirements into technical solutions and communicate technical complexity to non - technical stakeholders
• Project Ownership: Take end - to - end ownership of key projects, manage timelines, coordinate across teams, and deliver on commitments
• Team Growth: Identify skill gaps, support training and development initiatives, and help scale the engineering team's capabilities

**Tech Stack & Skills**

What you will work on

Frontend / Backend: Blazor, TypeScript, .NET, REST API, Python AI / LLM: OpenAI / Anthropic APIs, Semantic Kernel, MAF, RAG Pipelines, Prompt Engineering, SLM/LLM Ollama ML Frameworks: TensorFlow, PyTorch, Scikit - learn, Model Fine - tuning, MLOps / LLMOps Databases: Vector Databases, PostgreSQL, MongoDB, Redis, Kafka DevOps: Github Copilot, OpenCode, Docker, Kubernetes, Git, CI/CD, Azure ADO

What you must have (Core competencies)

Full - Stack Expertise: Proven 8+ years of experience with both frontend and backend development; deep proficiency in at least one backend language (.NET / Python / Java) and one frontend framework (Blazor / TypeScript / React)

Architectural Thinking: Experience designing scalable, maintainable systems; comfortable making trade - off decisions and explaining architectural choices

Technical Leadership: Demonstrated ability to mentor developers, lead technical design reviews, and raise team standards

Database & Infrastructure: Hands - on experience with relational databases (PostgreSQL / MS SQL), NoSQL databases (MongoDB / Redis), message queues (Kafka), and cloud deployment (Azure / AWS / Docker / Kubernetes)

AI/Generative AI: Strong understanding of LLM concepts, RAG pipelines, prompt engineering, and AI integration patterns; ability to work effectively with AI specialists

DevOps & CI/CD: Experience building or optimizing CI/CD pipelines, container orchestration, and managing production deployments

Code Quality Mindset: Strong advocate for testing, code reviews, clean architecture, and continuous improvement

Communication: Excellent written and verbal communication; comfortable presenting technical ideas to both technical and non - technical audiences