AILLM 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.

Required Skills:

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.

Required Education:

Bachelors Degree