Artificial Intelligence Machine Learning Engineer 1 (4893) at Connect Tech+Talent
Austin, TX
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Jul 20, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A one-year contract role focused on hands-on AI/ML engineering work across several initiatives: building and deploying parts of an enterprise search tool, helping configure and document an AI inventory system, supporting the implementation and testing of AI agents for various business units, and developing technical controls and processes to support AI governance adoption.
Mid level · 1+ years · Austin, TX · Contract
Advertised as Junior, but the requirements read as Mid.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (6)
The posting is extremely sparse — it lists four responsibility bullets, each prefaced with '1 Year', which appears to be the minimum experience required per area rather than a per-skill years demand. No specific ML frameworks, languages, or cloud platforms are named anywhere in the posting, making a full skills extraction impossible.
The 'Darwin AI' inventory system is referenced as a named product/platform the candidate will configure and roll out, but it is not a widely-known canonical technology and no further detail is given; it has been omitted from skills rather than invented.
The title reads 'Engineer 1', suggesting an entry-level framing (advertised as Junior), but the responsibilities — building and deploying enterprise search components, implementing AI agents, and developing AI governance controls — reflect independent delivery work more consistent with a Mid-level engineer.
The role is a 1-year contract, hybrid on-site in Austin, TX. No compensation figures are provided.
SOC classification is Medium confidence: the role spans ML/AI engineering (15-2051) and software development/deployment (15-1252); the deployment and implementation framing tips it toward Software Developers as the primary occupation.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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