About the Role

We are looking for a passionate and hands-on developer who has experience building intelligent agents using LangGraph and LangChain. The ideal candidate understands multi-agent systems, is confident with prompt engineering, tool integrations, and has a strong foundation in Python. You will work on building real-world, production-grade AI workflows powered by LLMs.

Key Responsibilities

• Design, develop, and optimize AI agents and workflows using LangGraph and LangChain
• Implement and manage supervisor-agent architectures for complex task orchestration
• Build custom tools and integrate them into agent workflows (e.g., APIs, databases, search engines)
• Craft and fine-tune effective prompts and memory structures to improve agent reasoning
• Collaborate with product and backend teams to integrate agents into end-user applications
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug agent behaviors and edge cases

Required Skills & Qualifications

• 1–2 years of experience in Python development, with strong hands-on coding ability
• Experience building agent-based systems using LangGraph and LangChain
• Familiarity with prompt engineering, LLM function/tool calling, and multi-agent coordination
• Experience with FastAPI, WebSockets, or similar frameworks is a plus
• Understanding of vector databases (e.g., FAISS, Weaviate, Pinecone) is a bonus
• Knowledge of LLMs such as OpenAI, Anthropic, LLaMA, etc., and their API usage
• Strong problem-solving skills and ability to work independently

Good to Have

• Experience with LangChain Expression Language (LCEL)
• Familiarity with LangSmith or agent tracing/debugging tools
• Exposure to real-time inference systems or chatbot interfaces
• GitHub or portfolio demonstrating prior LangGraph projects

Why Join Us?

• Be part of an early-stage team building cutting-edge GenAI products
• Work with high-impact use cases and a team that values innovation
• Flexible work environment and room for rapid growth