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.