AI Developer-Lead

Job description

**Job Description** **Role:- AI Developer** **Experience:- 10+Years** **Roles & Responsibilities** - Design architecture for RAG systems, agentic workflows and LLM integrations - Define standards for AI evaluation, model selection, prompt engineering and production readiness - Review technical designs produced by AI Engineers before implementation - Own the AI platform roadmap and communicate it to product and leadership teams - Hands-on implementation on high-complexity features — not purely supervisory - Mentor AI Engineers and Backend Engineers on AI-specific patterns - Maintain awareness of model capabilities, API updates and relevant open-source developments **Skills Required** - Python — production-grade development and code review - LLM API integration — OpenAI, Anthropic or Azure OpenAI. Streaming, function calling, structured outputs, error handling - RAG architecture — has designed and shipped retrieval-augmented generation systems. Can articulate choices around chunking, embedding models, reranking and evaluation - Agentic systems — has built multi-step agent pipelines with tool use, memory and error recovery - LLM evaluation — automated test frameworks, hallucination detection, retrieval quality measurement - Vector databases — Milvus, Pinecone, Weaviate, Chroma or pgvector in production - FastAPI or equivalent — API design and review - Docker, cloud (AWS/Azure/GCP), basic Kubernetes — can review and guide deployment decisions - Data Systems – Hands-on with Databases, Data architecture and distributed data systems