Evergreen: AI Platform & Data Engineer

AI Platform & Data Engineer

This is an evergreen position.

We are continuously sourcing for talent while we await anticipated job openings. Candidates who apply to this role understand we may not have an immediate opening and wish to be considered for future opportunities.

Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people's needs and transform their experience of government.

Our collaborations have shaped some of the defining moments in public-sector service delivery. We've helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government approaches technology.

Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.

Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.

The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision‑making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.

• Design, build, and operationalize a scalable AI/ML infrastructure to support multi‑agent AI systems.
• Implement the Model Control Plane (MCP) for model lifecycle management. Provide reusable AI services and data foundations.
• Research and integrate AI agent frameworks (e.g., Lang Chain). Design the MCP for model registry and lineage tracking.
• Develop shared foundational services like a managed vector database (for RAG) and distributed caching; integrate Human‑in‑the‑Loop (HITL) workflows for safe agent operation.
• Exercise strong influential skills to propose and evaluate multiple approaches to technical and process problems.
• Serve as a mentor to individuals within the team.
• Lead small, less critical, or temporary team structures and projects.
• Present design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers.
• Fully understand and consistently implement data engineering best practices.
• Generate data architecture recommendations and demonstrate the ability to implement them.
• Diagnose and effectively resolve issues with the systems owned, using incidents to inform educational opportunities and system improvements.
• Actively mentor and assist more junior engineers in their development of skills.
• Effectively communicate technical issues and developments with team members and clients.
• Participate in technical interviews with new candidates.

• Bachelor's degree and 7+ years of experience
  • Relevant years of experience may be substituted for education.
• Demonstrates expert‑level knowledge in at least one family of data ingestion systems, cloud database services, and visualization software.
• Expertise in key data concepts including constructing databases, processing big data, improving data accuracy, etc.

• Strong experience with data engineering in the cloud.
• Expertise in AI/ML workflows, model deployment, and observability (latency, throughput).
• Ability to design for data privacy and implement technical AI guardrails.
• Python (primary language), SQL, Spark/Databricks, Kubernetes/ECS, OpenAPI (for API documentation), experience with vector databases and feature stores.

To learn more about working at Ad Hoc, please visit: (Use the "Apply for this Job" box below)./join

Ad Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work‑related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

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