AI Engineer
Skills
Computer ScienceEnhanced Data Rates For GSM EvolutionIdentity And Access ManagementModelingOauthResearch And DevelopmentSnowflake Cloud
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.
