Artificial Intelligence & Expert Systems at IPS Technology Services
Dearborn, MI
$145,600–$156,000
Jul 21, 2026
Dearborn, MI
Jul 29, 2026
What this job asks for AI summary
A hands-on individual contributor role building multi-agent AI systems on Google Cloud Platform for an Enterprise Data Platform. Day-to-day work spans designing multi-agent architectures, writing production-grade code in Python/FastAPI and Angular/React, and developing LLM-powered workflows such as natural language-to-SQL and semantic search. Suits an experienced software engineer with a background in agentic AI frameworks and full-stack development who can also mentor teammates and contribute to architectural decisions.
Senior level · 5+ years · Detroit-Warren-Dearborn, MI · Bachelor's required · 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 90 people in the Detroit-Warren-Dearborn, MI area plausibly meet what this posting asks for (software developers). range 55–130
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $133,635 (middle half $104,090–$156,640).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This is a W2-only, 12-month contract engagement; C2C is explicitly excluded. The role requires 4 days per week on-site in Dearborn, MI (not fully remote).
The posting's 'Skills Required' section lists only 'Artificial Intelligence & Expert Systems' as a category label rather than naming discrete technologies. The concrete required technologies (Python/FastAPI, Angular/React, LLMs, multi-agent systems, RAG) were extracted from the body of the job description where they are described with firm, hands-on language.
GCP is listed under 'Skills Preferred' and is therefore marked as preferred despite being central to the role's architecture context.
Google ADK, CrewAI, and LangGraph appear under 'Experience Preferred' and are marked accordingly. OpenCode and Claude Code are mentioned in the narrative as expected familiarity but under no hard-gate heading, so they are marked preferred.
Applied ML skills (embeddings, classification, clustering, NLP, evaluation metrics) appear under 'Experience Preferred' and are marked preferred. 'multi-agent AI systems' and 'RAG' are treated as required based on firm architectural language in the body ('Design multi-agent AI systems', 'evaluate trade-offs… RAG vs. fine-tuning').
A Master's degree is listed as preferred; the hard minimum is a Bachelor's degree.
The alt SOC 15-2051 (Data Scientists) is noted because the role has meaningful ML/AI modeling scope, but the primary day-to-day work is production software engineering (coding agents, backend/frontend, APIs), making 15-1252 the better fit.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-agent AI systems.
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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