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
