Home › Companies › Recruiting Ultipro Com Ame1075 09af7a49 6e44 7933 83ad E62b675aa816 › AI Engineer
AI Engineer
Recruiting Ultipro Com Ame1075 09af7a49 6e44 7933 83ad E62b675aa816 · APA HQ, Washington, DC, United States · Deleted · UKG Pro Recruiting / Ultimate
Job facts
| Field | Value |
|---|---|
| Company | Recruiting Ultipro Com Ame1075 09af7a49 6e44 7933 83ad E62b675aa816 |
| Title | AI Engineer |
| Normalized title | - |
| Department / team | Application Development & Management |
| Location | Washington, DC, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | UKG Pro Recruiting / Ultimate |
| Posted / first seen | 2026-06-01 / 2026-06-02 |
| Changed / last seen | 2026-06-04 / 2026-06-02 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Recruiting Ultipro Com Ame1075 09af7a49 6e44 7933 83ad E62b675aa816. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through UKG Pro Recruiting / Ultimate. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Washington. | Open |
| Department jobs | Active postings in Application Development & Management. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Recruiting Ultipro Com Ame1075 09af7a49 6e44 7933 83ad E62b675aa816 |
| Source | 3e076640-709f-448d-8ef3-06fb25ed4915 |
| ATS provider | UKG Pro Recruiting / Ultimate |
Description
This role designs, builds, and operates agentic AI and retrieval-augmented generation (RAG) services that automate multi-step business workflows safely and reliably. The position partners with engineering and business stakeholders to deliver deployable, observable AI systems with measurable quality, strong guardrails, and ongoing iteration as tools and best practices evolve.
Full job record
| Job ID | 8ced13ab6e1e99b440af2c9d3bb6599d1c1748c9 |
| Org ID | d49181c2-217b-45a2-a796-6097442640e2 |
| Source ID | 3e076640-709f-448d-8ef3-06fb25ed4915 |
| Board ID | 3e076640-709f-448d-8ef3-06fb25ed4915 |
| Provider | ukg |
| Provider Job Key | 48c74272-e086-41b7-9cb8-2a570cda2013 |
| Title | AI Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | APA HQ, Washington, DC, United States |
| Department | Application Development & Management |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | DC |
| City | Washington |
| Salary Raw | This role designs, builds, and operates agentic AI and retrieval-augmented generation (RAG) services that automate multi-step business workflows safely and reliably. The position partners with engineering and business stakeholders to deliver deployable, observable AI systems with measurable quality, strong guardrails, and ongoing iteration as tools and best practices evolve. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://recruiting.ultipro.com/AME1075/JobBoard/09af7a49-6e44-7933-83ad-e62b675aa816/OpportunityDetail?opportunityId=48c74272-e086-41b7-9cb8-2a570cda2013 |
| Apply URL | https://recruiting.ultipro.com/AME1075/JobBoard/09af7a49-6e44-7933-83ad-e62b675aa816/OpportunityDetail?opportunityId=48c74272-e086-41b7-9cb8-2a570cda2013 |
| First Seen At | 2026-06-02 12:20:37Z |
| Last Seen At | 2026-06-02 12:20:37Z |
| Last Checked At | 2026-06-04 12:20:38Z |
| Last Changed At | 2026-06-04 12:20:38Z |
| Inactive At | 2026-06-04 12:20:38Z |
| Source Posted At | 2026-06-01 21:33:10Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=ukg/board=recruiting.ultipro.com|ame1075|09af7a49-6e44-7933-83ad-e62b675aa816/date=2026-06-02/2026-06-02T12-20-36-424Z-594813846d828750b5d0c5ffa76a7c649b87bbccde3c874e52d0bb76b029ad6e.json |
Event Fields
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