Senior AI Engineer — Remote, End-to-End LLM & Production

Incredible Health

United States

Remote

USD 170,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Unlimited vacation
Family leave policy
Equity may be offered
Competitive salary
US-based remote

Job summary

Incredible Health is seeking an experienced software engineer to own AI-powered product features across the stack. Expect hands-on work from notebook to production, with emphasis on end-to-end delivery and measurable impact for healthcare staffing.

You'll lead ML-powered matching, search, and ranking systems, ship Python, Rails, and React code, and partner with ML, AI, and product teams to monitor performance and iterate rapidly.

Qualifications

  • 6+ years of software engineering experience.
  • Strong Python engineering skills; validate retrains and embeddings.
  • Experience evaluating non-deterministic systems with golden datasets.
  • Foundations in ML: classification, ranking, evaluation.
  • Production LLM experience including prompts, tools, and outputs; SQL analysis.

Responsibilities

  • Lead LLM-powered products end to end from prototype to production.
  • Own matching, search, and ranking with model design, offline validation, shadow-scoring, and A/B experiments.
  • Ship production code: Python, Rails, React; diagnose issues like hallucinations and ranking regressions.
  • Turn ambiguous questions into production-minded data analysis; drive rigorous code reviews with ML/AI teams.

Skills

Software engineering
Python
ML deployment
Data analysis
System thinking
AB testing

Tools

Rails
React
ElasticSearch
FastAPI
Snowflake

Job description

Incredible Health is seeking an experienced software engineer to own AI-powered product features across the stack. Expect hands-on work from notebook to production, with emphasis on end-to-end delivery and measurable impact for healthcare staffing.

You'll lead ML-powered matching, search, and ranking systems, ship Python, Rails, and React code, and partner with ML, AI, and product teams to monitor performance and iterate rapidly.

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