Senior Consultant

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

• 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.

Responsibilities Key Responsibilities

• Design, develop, and optimize AI agents and workflows using LangGraph and LangChain, Python , and Retrieval-Augmented Generation (RAG).
• 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
• Knowledge of LLMs such as OpenAI, 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

Qualifications Career Level - IC2

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