Design and deliver production AI systems across our commercial platform work and our federal modernization programs
Work as a hands-on builder on a small, senior team
Own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment
Make sound technical calls under federal compliance, security, and procurement constraints

Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field
1-3 years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions
Strong production experience in Python and TypeScript, with modern web frameworks on both sides (e.g. FastAPI, React)
Hands-on integration of LLMs into real applications — streaming, tool / function calling, token accounting, and failure handling — across at least one of OpenAI, Anthropic, Bedrock, Vertex, or Azure OpenAI
Experience designing agentic systems: multi-step workflows, retrieval-augmented generation, evaluation, and human-in-the-loop guardrails
Solid relational data modeling on PostgreSQL with an async ORM and migration tooling
AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code, ideally Terraform
Practical understanding of OAuth / OIDC, JWT, RBAC, multi-tenant isolation, and least-privilege design
Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written communication

AI Engineer

Key skills