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Specialized LLM/agent skills with metro location and reputable employer create moderate applicant competition.
Role demands specialized LLM/agent and cloud skills, but those skills are reasonably transferable across industries.
Many mandatory, specific technical skills and frameworks required, driving strict candidate filters.
Design, develop, and optimize Python-based microservices integrating AI agents for a Supply Chain Data Platform, focusing on capabilities like agent memory, tool/function calling, multi-step reasoning, RAG, and prompt engineering.
Contribute to AI agent observability, LLM evaluation, token/cost optimization, and implement logging, monitoring in production environments.
Lead technical design, troubleshoot production issues, mentor junior engineers, and help shape the AI-driven capabilities roadmap.
Bachelor's degree in Computer Science, Engineering, or related field with relevant software development experience.
Strong hands-on experience with Python and FastAPI; experience with AI agent frameworks such as LangGraph, LangChain, or AutoGen.
Experience with Azure cloud platform, OpenAI, Azure AI Foundry, microservices, REST APIs, OAuth, Git, and Snowflake database.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and optimizing AI/LLM-driven software products, especially in supply chain or data platform environments.
Technically hands-on with advanced AI agent architectures including multi-agent orchestration, prompt engineering, and RAG pipelines.
Able to lead technical design, troubleshoot complex production issues, and mentor team members in a structured software engineering environment with CI/CD and clean code standards.