Artificial Intelligence Engineer
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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We're building a full AI engineering team for a federal agency in Washington, DC. These are long-term contracts (3-4 years) with a hybrid schedule: on-site in Washington, DC 3 days per week.
Requirement: US Citizens and Green Card holders only (government requirement). No sponsorship available.
Open roles:
- Lead AI Engineer / Architect
- Senior AI Engineer (2 openings)
- AI Developer (2 openings)
- AI Full Stack Developer
- AI/ML Data Engineer
- UI/UX Developer
- AI Security Engineer
- AI Project / Program Manager
What the team does:
- Train, fine-tune, evaluate and deploy AI/ML models and LLM applications (MLOps)
- Design scalable AI architectures, APIs, cloud deployments and system integrations
- Build RAG pipelines: embeddings, vector stores, hybrid retrieval and semantic search
- Design agentic AI and multi-agent workflows with guardrails and human oversight
- Build AI-powered applications, dashboards and accessible, user-centered interfaces (Section 508)
- Build ETL/ELT pipelines with data lineage, versioning and quality controls for AI workloads
- Test, monitor and secure AI systems: drift detection, adversarial testing, incident response
- Support Responsible AI and governance work: model cards, bias reviews, ATO and compliance documentation
- Deliver demos, training, user guides and clear, audit-ready documentation
What we're looking for:
- Hands-on experience shipping AI/ML or GenAI solutions to production (or the matching skills for the UI/UX, Security, Data and PM roles)
- Python plus at least one major cloud (AWS, Azure or GCP)
- Federal or public sector experience is a strong plus; Public Trust or clearance is a plus
- Able to work on-site in Washington, DC 3 days per week
Competitive hourly rate, W2 or 1099.
To apply: please answer the screening questions and attach your updated resume. Qualified candidates will be contacted directly to schedule a short call.
