Pantheon Data
Senior Machine Learning Engineer
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Job Description
Company Overview
Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.
Position Overview
Pantheon Data is seeking a Senior Machine Learning Engineer to design, build, and operate production AI systems for federal clients - including hybrid retrieval-augmented generation (RAG) applications, Intelligent Document Processing (IDP) pipelines, and LLM-backed decision-support tools running in AWS GovCloud.
This is a hands-on, production-focused engineering role. You will work with GovCloud-hosted foundation models on Amazon Bedrock, build hybrid retrieval over relational and vector data stores, design rigorous evaluation harnesses, and ship secure, traceable, evidence-grounded systems in FedRAMP High / DoD IL4–IL5 environments. This is not a notebook-only, prompt-only, or research-only role: successful candidates can walk through real systems they have built - the data flow, retrieval and inference architecture, deployment approach, evaluation strategy, failure modes, and what they personally implemented.
What This Role Will Work On
* Design and build hybrid RAG applications combining semantic (vector) search, lexical/full-text search, and structured SQL retrieval, with rank fusion, evidence grounding, and source-cited answer generation
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