Responsibilities

You'll join the analytics and AI engineering team behind a system that genuinely matters: an AI-assisted platform that pulls together records from dozens of external feeds, resolves them to the right person, surfaces what a human reviewer should look at first, and explains every recommendation in plain, defensible terms — running inside a secure government cloud environment. It's the kind of problem where the details you get right are the ones that count, which is exactly what makes it worth doing well.
As ML Engineer, Retrieval & Grounded Generation, you'll build embeddings, vector storage, and retrieval at scale, and integrate language models so that every piece of generated text is bound to cited source records and citation failures are tested for rather than assumed away. You'll also own prompt and output-schema design; model packaging, versioning, serving, and rollback; and the telemetry hooks that make later measurement possible without manual reconstruction - real infrastructure for a real production system, not a demo.
This is a fully remote role, with occasional travel to DEFCON AI HQ, customer sites, and vendor facilities as required.
Implement embeddings, vector storage, and retrieval across a large, provenance-tracked evidence base
Integrate language models so generated text is bound to cited source records; test for citation failures rather than assuming them away
Design prompts and output schemas
Own model packaging, versioning, serving, and rollback
Instrument telemetry for retrieval and generation quality, recommendation/version attribution, overrides, abstentions, grounding failures, latency, throughput, and measurement events defined with Model Test
Provide bounded model assistance for difficult narrative extraction where deterministic processing is insufficient, with every output tied to its source passage
Supply the recorded rule context to every model-assisted step, so each output carries the exact rule versions and ordered context it received
Maintain a modular in-boundary serving path, self-hosted or managed, alongside the primary managed inference service, so the platform does not depend on one provider’s availability or approval

ML Engineer, Retrieval & Grounded Generation at Defcon · LumiJobs

ML Engineer, Retrieval & Grounded Generation

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Defcon

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