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Metro location, generic 'Software Engineer' title, and broad AI-plus-microservices requirements increase candidate competition.
Specialized LLM/agent frameworks, prompt engineering, and Azure expertise limit cross-domain transferability.
Multiple mandatory technical skills and niche LLM/agent expertise create strict shortlisting filters.
Design, develop, and optimize Python-based microservices and AI agent capabilities for a Supply Chain Data Platform.
Lead technical design, troubleshoot production issues, and improve service reliability of AI-driven solutions.
Mentor team members and contribute to the roadmap and technical vision for AI-driven capabilities.
Bachelor’s degree in Computer Science, Engineering, or related field.
Strong hands-on experience in Python, FastAPI, Git, REST API, OAuth, and Snowflake.
Experience with AI agent development frameworks such as LangGraph, LangChain, or AutoGen, including prompt engineering, RAG, agent memory, multi-agent orchestration, and token/cost optimization.
Experience with Azure, OpenAI, Azure AI Foundry, and cloud-native development on Microsoft Azure. Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to lead complex AI agent and LLM-based software development projects in a cloud-native environment.
Expertise in integrating and optimizing AI-driven microservices with strong understanding of observability, logging, and cost optimization techniques.
Experienced in mentoring engineers and translating business requirements into scalable, maintainable technical solutions.