Artificial Intelligence Engineer

Job Description

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.

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Requirement: US Citizens and Green Card holders only (government requirement). No sponsorship available.

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Open roles:

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• Lead AI Engineer / Architect

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• Senior AI Engineer (2 openings)

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• AI Developer (2 openings)

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• AI Full Stack Developer

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• AI/ML Data Engineer

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• UI/UX Developer

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• AI Security Engineer

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• AI Project / Program Manager

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What the team does:

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• Train, fine-tune, evaluate and deploy AI/ML models and LLM applications (MLOps)

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• Design scalable AI architectures, APIs, cloud deployments and system integrations

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• Build RAG pipelines: embeddings, vector stores, hybrid retrieval and semantic search

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• Design agentic AI and multi-agent workflows with guardrails and human oversight

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• Build AI-powered applications, dashboards and accessible, user-centered interfaces (Section 508)

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• Build ETL/ELT pipelines with data lineage, versioning and quality controls for AI workloads

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• Test, monitor and secure AI systems: drift detection, adversarial testing, incident response

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• Support Responsible AI and governance work: model cards, bias reviews, ATO and compliance documentation

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• Deliver demos, training, user guides and clear, audit-ready documentation

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What we're looking for:

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• Hands-on experience shipping AI/ML or GenAI solutions to production (or the matching skills for the UI/UX, Security, Data and PM roles)

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• Python plus at least one major cloud (AWS, Azure or GCP)

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• Federal or public sector experience is a strong plus; Public Trust or clearance is a plus

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• Able to work on-site in Washington, DC 3 days per week

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Competitive hourly rate, W2 or 1099.

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To apply: please answer the screening questions and attach your updated resume. Qualified candidates will be contacted directly to schedule a short call.