Senior AI Agent Developer

Senior Consultant

Design, develop, and optimize AI agents and workflows using LangGraph and LangChain, Python, and Retrieval-Augmented Generation (RAG).

1. Build custom tools and integrate them into agent workflows (e.g., APIs, databases, search engines)
2. Craft and fine-tune effective prompts and memory structures to improve agent reasoning.
3. Collaborate with product and backend teams to integrate agents into end-user applications.
4. Write clean, maintainable, and well-documented code.
5. Troubleshoot and debug agent behaviors and edge cases.

Key Responsibilities

1. Design, develop, and optimize AI agents and workflows using LangGraph and LangChain, Python, and Retrieval-Augmented Generation (RAG).
2. Build custom tools and integrate them into agent workflows (e.g., APIs, databases, search engines)
3. Craft and fine-tune effective prompts and memory structures to improve agent reasoning.
4. Collaborate with product and backend teams to integrate agents into end-user applications.
5. Write clean, maintainable, and well-documented code.
6. Troubleshoot and debug agent behaviors and edge cases.

Required Skills & Qualifications

1. 1–2 years of experience in Python development, with strong hands-on coding ability
2. Experience building agent-based systems using LangGraph and LangChain
3. Familiarity with prompt engineering, LLM function/tool calling, and multi-agent coordination
4. Experience with FastAPI, WebSockets, or similar frameworks is a plus
5. Knowledge of LLMs such as OpenAI, and their API usage
6. Strong problem-solving skills and ability to work independently

Good to Have

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

Career Level - IC2

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Experience Level

Senior Level