AI Fullstack Lead Engineer

We are looking for a Senior Full-Stack AI Engineer / AI Tech Lead with strong 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 environments such as SOC 2, ISO 27001, HIPAA, or similar is a plus.