Job Description
KEY RESPONSIBILITIES: •Build agents with persistent context & memory •Design self-learning feedback loops •Implement RAG pipelines for domain knowledge •Manage conversation state & orchestration •Integrate with LLM APIs (OpenAI, Claude, open-source) Iterate fast — ship daily, measure weekly MUST-HAVE SKILLS •Python / TypeScript proficiency •LangChain, CrewAI, AutoGen or custom frameworks •Experience with vector DBs (Pinecone, Weaviate, Qdrant) •Prompt engineering & evaluation pipelines •Understanding of agent architectures (ReAct, tool-use) Git, CI/CD, containerization basics Skills:- Multi-agent Systems, CrewAI, LangChain, Retrieval Augmented Generation (RAG), LoRA / QLoRA, LangGraph and TypeScript
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