Build the agentic platform that enables Bedrock engineers to create, deploy, and monitor AI agents on AWS.
Ship the first agents grounded in Bedrock specificities.
Build workflow automation agents for internal productivity.
Design and implement MCP servers that expose Bedrock's internal systems as tool interfaces for agents.
Build evaluation and observability infrastructure for agents.
Iterate on agent UX patterns beyond simple chat.
Requirements
4+ years of professional experience in software engineering, with demonstrated ownership of production systems.
Strong Python skills and comfort with async patterns, API design, and cloud-native development on AWS.
Hands-on experience building LLM-powered applications including agents, tool use, RAG, prompt engineering, and evaluation.
Systems thinking. You can design an agent platform that's modular, observable, and maintainable, not just a collection of scripts.
Comfort working across the stack. You'll interface with cloud infrastructure, data systems, frontend teams, and end users and you're energized by that breadth.
Strong written communication. Agents are only as good as their grounding context. You'll help shape how we encode domain knowledge for AI consumption.