Data Engineer
Mid-level · Sacramento or remote
You make the records usable. You name the source, the owner, the access path, and the holes. You build the pipeline that gets one approved input onto the review screen. If the history cannot support the decision, you say so before a model is attached.
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Applied AI Engineer
Mid-level · Sacramento or remote
You put a model inside a job a person already does. Retrieval, a draft, or a comparison against a checklist. The finding stays tied to the passage it came from. A chat window is not the product.
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Knowledge Modeler
Mid-level · Sacramento or remote
You turn a messy set of records into a structure a reviewer can trust. Fields, names, duplicates, and the rules for what counts as the same thing. The model uses that structure. It does not invent one.
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AI Review Software Engineer
Mid-level · Sacramento or remote
You build the screen. Source, prepared finding, and the decision sit together. A reviewer can accept, edit, or reject. The export uses accepted findings only.
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Cloud and Security Engineer
Mid-level · Sacramento or remote
You decide where the system runs and who can open it. AWS, Microsoft, Google, or the client network. You write the recovery path before the first user depends on the screen.
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Enterprise AI Value Consultant
Mid-level · Sacramento or remote
You pick the first workflow by hours spent and the cost of a wrong call. You write the scope: one role, one input, one export. The next workflow waits until the first screen holds.
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Enterprise AI Value Manager
Senior · Sacramento or remote
You hold the first build to the written check. You talk to the person who owns the records, not a slide. You stop a job when the data cannot support the decision.
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Forward Deployed AI Engineer
Senior · Client site or remote
You stay through delivery. You sit with the reviewer, watch the miss, and change the screen. The work is not finished when the model answers. It is finished when the person can sign the output without us in the room.
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