Bring ideas to production on AWS, including integrating LLMs and agents with various platforms and enterprise APIs to support customer engagements.
Requirements
- Hands-on LLM integration (tool use/function calling, retrieval, evaluations, safety/guardrails, tracing/observability).
- Strong Python (APIs, async/concurrency, packaging, testing), and TypeScript with React.
- Comfortable with databases (PostgreSQL and/or DynamoDB preferred) and log/event pipelines.
- Experience with a hyperscale cloud platform (AWS preferred): compute, messaging/queueing, storage, CI/CD, observability, IAM basics.
- Practical use of AI dev tools (Claude Code, ChatGPT, GitHub Copilot, Cursor, etc.) to accelerate delivery.
- LangGraph/LangChain (others welcome) and multiagent patterns.
- Terraform; maintaining CI/CD pipelines.
Responsibilities
- Build agentic services in Python using frameworks like LangGraph and LangChain, leveraging the latest frontier LLMs from Anthropic, OpenAI, and others.
- Integrate with enterprise platforms, APIs, and developer/data systems to automate workflows and enrich context.
- Design, develop, and deploy web apps, generally leveraging Typescript, React, and Tailwind CSS.
- Design data and retrieval patterns (PostgreSQL, DynamoDB, RAG), as well as evaluation and guardrails.
- Build backends in Python using libraries like FastAPI.
- Contribute to CI/CD, collaborate with platform and DevOps engineers to codify infrastructure (Terraform preferred), and instrument services (tests, monitoring, safe rollback).
Other
- 7+ years building production applications from design through release and iteration.
- Excellent collaboration and communication; able to partner with internal stakeholders and (when needed) customers.
- UI/UX instincts for operator workflows.
- Experience delivering in enterprise scale or public sector environments.
- The travel requirements for this position may vary depending on our needs. You are prepared to travel domestically.
