Description:

Design, build, and run production-grade agentic AI systems on AWS and Azure.
Develop reliable multi-step agent workflows using LLMs, tools, and enterprise data.
Own solutions from architecture and prototyping through deployment, evaluation, and monitoring.

Requirements:

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years of software engineering experience, with 2+ years in LLM or GenAI applications in production.
Strong Python skills and experience building APIs and services.
Hands-on experience with modern frameworks for agentic systems (e.g., LangGraph, LangChain).
Production experience with AWS or Azure AI services.
Practical RAG experience with vector databases or search services.
Knowledge of cloud fundamentals, CI/CD, Git, and infrastructure as code.
Understanding of LLM evaluation, prompt engineering, and AI safety/security risks.
Strong communication skills for explaining technical trade-offs.

Skills