Senior AI Engineer
Abacus Insights
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Jul 25, 2026
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Jul 26, 2026
What this job asks for AI summary
A senior individual contributor and technical leader role focused on designing and building AI/ML systems for a healthcare data platform. Day-to-day work spans LLM fine-tuning, agentic pipelines, RAG and SQL agents, and scalable GenAI backend infrastructure, primarily on Databricks. The role also carries mentorship and architectural guidance responsibilities across distributed engineering teams. Suits an experienced ML/AI engineer with a solid software development foundation and comfort operating across both hands-on technical and cross-functional leadership contexts.
Senior level · 6+ years · Remote · Full-time
“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 1,650 people nationally plausibly meet what this posting asks for (software developers). range 340–2,500
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.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
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 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is a genuine hybrid between applied ML/AI engineering (15-2051) and software development (15-1252). The emphasis on building scalable backend systems, pipelines, and production-grade agentic platforms tips the classification toward Software Developers, but the ML/AI research and modeling depth makes Data Scientists a credible runner-up.
Location is fully remote ('Work from anywhere'); no specific metro or state is mentioned.
The 6+ year floor is the overall software development experience requirement; the 3+ year ML/AI and 2+ year Databricks requirements are skill-specific and captured on those skills.
The JD states 'Bachelor's Degree or equivalent relevant professional experience,' which means equivalent experience is explicitly accepted — treated as no hard degree requirement.
No compensation figures are provided; the posting only states that pay is based on experience, skills, and location.
TensorFlow and PyTorch are listed together as a single proficiency requirement; PyTorch is captured as an alternative since either satisfies the requirement.
Snowflake, FHIR, and healthcare data exposure are explicitly listed under 'What we would like to see, but not required' — all treated as preferred.
Read the full posting
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