Description
Summary About the Role We're looking for an experienced AI/ML developer to design, build, and deploy production-grade AI systems. You'll work on LLM-powered applications, retrieval-augmented generation (RAG) pipelines, and multi-agent architectures. This is a hands-on role for someone who has shipped real AI products—not just prototypes. Responsibilities Design and implement RAG pipelines (chunking, embeddings, vector stores, retrieval optimization) Build multi-agent systems using LangChain and LangGraph Integrate and fine-tune LLMs (OpenAI, Anthropic, open-source models) Develop and optimize prompts, tool-calling, and agent orchestration logic Deploy scalable, reliable AI services with proper monitoring and evaluation Collaborate on architecture decisions and code reviews Required Skills (Mandatory) Strong AI/ML fundamentals and hands-on experience Proven LLM application development RAG pipeline design and optimization LangChain and LangGraph (production experience) Agent / multi-agent system build experience Vector databases (Pinecone, Weaviate, Chroma, FAISS, or similar) Python (production-level) API integration (OpenAI, Anthropic, Hugging Face) Nice to Have Fine-tuning / LoRA / model optimization Cloud deployment (AWS/GCP/Azure) MLOps and evaluation frameworks (LangSmith, RAGAS) Experience with streaming, caching, and cost optimization