We are looking for a Senior Full-Stack AI Engineer / AI Tech Lead with solid experience in Generative AI, RAG, AI Agents, Python, Next.js, and TypeScript. The candidate will be responsible for building production-grade AI applications, leading technical initiatives, and mentoring a small engineering team.

Key Responsibilities
Design, develop, and deploy full-stack AI applications using Next.js, React, TypeScript, Python, and FastAPI.
Build and maintain Generative AI solutions, RAG pipelines, and AI agents for complex document-based use cases.
Develop agent capabilities including tool calling, planning, memory, orchestration, guardrails, and evaluation.
Design document retrieval systems using chunking, embeddings, vector databases, hybrid search, re-ranking, and citation-based generation.
Integrate and work with LLMs, understanding model capabilities, limitations, hallucinations, context limitations, and other failure modes.
Take AI solutions from POC/prototype to production, including testing, monitoring, observability, evaluation, and regression testing.
Optimize AI systems for performance, scalability, accuracy, latency, and cost.
Drive system architecture and design decisions across frontend, backend, databases, AI services, cloud infrastructure, and third-party integrations.




Work with AWS / Azure / GCP, PostgreSQL, relational databases, object storage, APIs, and cloud services.
Use AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development productivity.
Lead and mentor a small engineering team, provide technical direction, conduct code reviews, and drive engineering best practices.
Work with frameworks such as LangChain, LangGraph, LlamaIndex, or similar. Experience with LangSmith, Langfuse, Braintrust, Arize, or Phoenix is an added advantage.
Required Skills

Python | FastAPI | Next.js | React | TypeScript | Generative AI | LLM | RAG | AI Agents | LangChain | LangGraph | LlamaIndex | Vector Database | Embeddings | Hybrid Search | PostgreSQL | AWS/Azure/GCP | System Design

Preferred Experience
Experience building and deploying production-grade AI/GenAI applications.
Experience with RAG or Agentic AI systems.
Experience working with large and complex documents or contracts.
Experience with AI evaluation, observability, and monitoring.
Experience in technical leadership or team mentoring.
Exposure to security/compliance settings such as SOC 2, ISO 27001, HIPAA, or similar is a plus.

📌 Ai Fullstack Lead Engineer Bengaluru
🏢 Primesource Consulting
📍 Bengaluru