AI/ML Software Engineer at The Corporate
$93,600–$114,400
Jul 28, 2026
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Jul 29, 2026
What this job asks for AI summary
A contract AI/ML Software Engineer role (6–10 months, fully remote) focused on designing and building AI agents using large language models and generative AI tooling. The ideal candidate has 4–6 years of experience and a strong background in LLM-based application development. Broad data engineering and full-stack skills are a bonus but not required.
Mid level · 4+ years · Remote · Contract
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,000 people nationally plausibly meet what this posting asks for (software developers). range 580–3,000
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
This is a contract engagement of 6–10 months. The posting is fully remote but requires the candidate to be reachable from one of ~16 listed US metro areas for in-person interviews or equipment pickup — no single primary metro is designated.
Experience range is stated as 4–6 years, mapped to the overall years minimum of 4 (the minimum of the range). The role is framed as 'AI Builder' profile, which aligns with Mid-level given the experience band, despite the breadth of the required GenAI stack.
MCP Server is listed as a required skill; this likely refers to the Model Context Protocol server pattern in the LLM agent ecosystem — it is a relatively niche/emerging term and may be interpreted broadly by hiring managers.
The 'Nice to have' section is extensive and covers data engineering, full-stack, and cloud tooling. Docker and Kubernetes are listed together as a single item and split into one skill with an alternative; similarly ADF/Airflow and FastAPI/Flask are treated as interchangeable pairs per the posting's slash notation.
Azure is noted as 'preferred' within the Nice-to-have section, so it is not elevated to a hard gate despite Azure OpenAI appearing in the required block.
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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