AI Engineer

Skills
Computer ScienceEnhanced Data Rates For GSM EvolutionIdentity And Access ManagementModelingOauthResearch And DevelopmentSnowflake Cloud
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s Degree in Computer Science Computer Engineering Data Science Computational Linguistics or related field; Master’s is a bonus
  • 1-3 years of professional experience building and shipping ML or NLP systems including LLM based or Generative AI solutions
  • Strong production experience in Python and TypeScript with modern web frameworks such as FastAPI and React
  • Hands-on integration of LLMs into real applications including streaming tool/function calling token accounting and failure handling across OpenAI Anthropic Bedrock Vertex or Azure OpenAI
  • Experience designing agentic systems including 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 covering compute storage IAM secrets networking and observability plus 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 with reviewable diffs and clear written communication
  • Must be a U.S. Citizen with ability to obtain and maintain government suitability clearance

Nice to have

  • Senior team collaboration
  • Sound technical judgment
  • Clear written communication
  • Security minded

Day to day

  • Design and deliver production AI systems across commercial platform work and federal modernization programs.
  • 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 while building on a small senior team.