10+ years of professional software development experience.
Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React, serverless execution layers)
Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain
Proven track record architecting, provisioning, and managing your own production infrastructure on AWS, specifically utilizing ECS Fargate, Lambda, and SQS
Experience defining cloud architecture programmatically using advanced Infrastructure-as-Code (IaC) tools like AWS CDK or Terraform (Python/TypeScript preferred)
Experience managing relational databases (preferably Aurora) alongside graph or vector backends (such as Neptune)
Power-user fluency with advanced command-line AI interfaces (Claude Code CLI, GitHub Copilot CLI) with a deep understanding of prompt engineering and context window management
Experience operating in an agile setting, deploying and maintaining AI/LLM applications in a live, enterprise-scale production environment
Accountable for results, with excellent communication skills to mentor engineers and defuse technical friction
Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway
Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).
