AI/LLM Engineer – Python, LangChain, LLM

Role Summary

• Design and build intelligent agent-based systems that can reason, plan, and act autonomously.
• Strong Python engineering expertise and hands-on experience with modern agent frameworks.
• Solid understanding of data platforms and scalable architectures. Agent & AI System Development
• Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar.
• Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.
• Implement advanced cognitive patterns such as ReAct (Reasoning + Acting). LLM Capabilities & Enhancements
• Develop and integrate memory, tool usage, and context management capabilities (MCP).
• Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.
• Collaborate with prompt engineers to enhance model responses and performance. Engineering & Development
• Write high-quality, scalable code using Python, including async programming.
• Build and maintain APIs and microservices for AI/agent-based applications.
• Ensure systems are efficient, reliable, and production-ready. Guardrails & Responsible AI
• Design and implement guardrails and safety mechanisms for LLM-driven systems.
• Ensure robust handling of edge cases, failure scenarios, and unintended outputs. Data & Platform Integration, Work with modern data platforms such as:
• Snowflake
• Databricks
• Lakehouse architectures
• Integrate AI solutions with enterprise data pipelines and systems.