AI Engineer at duvari group
Chesterfield, MO
$200,000
Jul 21, 2026
Chesterfield, MO
Jul 23, 2026
What this job asks for AI summary
A mid-level role focused on building and deploying machine learning and AI solutions to address business problems, including constructing data pipelines, integrating AI capabilities into existing systems, and maintaining model performance over time. The position involves working across technical and business teams to surface and prioritize use cases. It suits a Python-proficient developer with at least two years of hands-on ML or AI experience.
Mid level · 2+ years
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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 (6)
Work location is not specified anywhere in the posting; CBSA, state, and remote status cannot be determined. Remote is defaulted to false.
The Bachelor's degree requirement explicitly accepts 'equivalent experience' as a substitute, so the degree requirement is set to None.
The ML frameworks requirement is stated broadly ('modern AI/ML frameworks and libraries') with no specific framework named — no canonical tool name can be extracted. Common examples in this space include TensorFlow, PyTorch, and scikit-learn.
Cloud platforms appear only under Preferred Qualifications and are described generically ('cloud-based environments and modern data platforms') with no specific provider named; AWS, Azure, and GCP are listed as common substitutes.
SOC classification is Medium confidence: the role blends data science/ML modeling (15-2051) with software development and integration work (15-1252). The emphasis on designing and deploying AI/ML solutions and model lifecycle management tips it toward 15-2051, but the integration and pipeline-building responsibilities make 15-1252 a genuine runner-up.
Seniority is assessed as Mid based on the 2+ years minimum experience requirement and the scope of independent but team-collaborative delivery described, despite the broad 'AI Developer' title carrying no explicit level.
Read the full posting
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