Senior AI Engineer

Incredible Health; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, and vision coverage

401(k) plan

Unlimited vacation

Family leave

Job summary

Incredible Health is seeking a senior software/ML engineer to own end-to-end AI product development, shipping features from prototype to production. You will work on the full stack—Python ML services, Rails and React web app—and drive evals, AB tests, and model improvements that impact healthcare hiring.

This fully remote role spans the US, with a fast-moving, high‑caliber team of engineers, data scientists, and product partners.

Qualifications

• 6+ years of software engineering with 2+ years delivering ML/LLM features to production.
• Strong Python software engineering skills with retrain/embedding pipelines and eval harness.
• Experience evaluating non-deterministic systems with golden datasets and regression tests.
• Foundations in ML—classification, ranking, model evaluation, offline metrics.
• Production LLM experience (prompting, tool calls, structured outputs) and SQL-driven analysis.

Responsibilities

• Lead end-to-end ML product development using foundation models and evals.
• Own matching, search, ranking; model design, offline validation, shadow-score, AB tests.
• Ship production code across Python, Rails, React; diagnose issues like hallucinations.
• Turn ambiguous questions into production data analyses and improve via reviews.

Skills

ML engineering

Python programming

LLM production

Evaluation pipelines

SQL data analysis

Tools

Python/FastAPI

Celery

Rails

React

ElasticSearch

Embeddings

Snowflake

dbt

Job description

Position Summary

Nurses take care of everyone else — our mission is to take care of them — helping healthcare professionals live better lives and find and do their best work. Over one million nurses and 1,500+ hospitals rely on Incredible Health's AI-powered career marketplace, and the intelligence behind it: the matching and search models that decide what every nurse sees, and AI products like Lyn, our AI interview agent. This is a hands‑on role for an engineer with range: notebook in the morning, eval suite by afternoon, production by Friday — full stack, all the way to the user. You think in systems, tradeoffs, and outcomes, not just models — and you'd rather ship a good feature that helps 10,000 nurses today than a perfect model that stays in a notebook.

This role is 100% remote and can be located in the following states:

Alabama, Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, West Virginia

What you'll do

• Lead LLM-powered products end to end using the foundation models best suited to the job: prototype a capability, validate it with evals, deploy, monitor, and iterate.
• Take end-to-end ownership of matching, search, and ranking — model design, offline validation, shadow-scoring, and A/B experiments — across embeddings and ElasticSearch.
• Ship production code across the stack — Python ML services, Rails and React web app — and diagnose whatever breaks: hallucinations, retrieval misses, ranking regressions.
• Turn ambiguous questions into production-minded data analysis that changes what we build, and raise the bar through rigorous code review with our ML, AI, and product engineers.

What you'll bring

• 6+ years of software engineering, including 2+ recent years taking ML- and LLM-powered features from concept through deployment and long-term production maintenance.
• Strong Python software engineering skills — with the depth to independently run, validate, and interpret a ranking-model retrain, an embedding pipeline, or an eval harness.
• Evaluation for non-deterministic systems: golden datasets, LLM-as-judge, regression tests that gate launches.
• Core ML foundations — classification, ranking, model evaluation — and the rigor to know what offline metrics predict about real users.
• Production LLM experience (prompt engineering, tool calling, structured outputs, agent and voice workflows), plus SQL-driven product analysis and the notebook fluency to set up an environment and train or run a model on your own box.

What sets you apart

• Marketplaces or recommendation systems where both sides say yes.
• Voice agents in production.
• Embedding retrieval at scale.
• Claude Code as a daily force multiplier.
• Confident full‑stack contributor.

Your first 90 days

• Day 30: Shipped to production across our entire AI product stack. Running our eval suites and core notebooks solo, and already trading substantive PR reviews with our ML engineer.
• Day 60: Owning a production surface end to end — Lyn's eval loop or the matching retrain cycle — and shipped your first measurable improvement, validated by experiment.
• Day 90: Led an AI bet from scoping through experiment‑validated launch. Operating our production ML services independently and pitching the next quarter's AI roadmap with data behind it.

The stack

Anthropic (Claude)

• ElevenLabs
• Python/FastAPI + Celery
• Rails + React
• ElasticSearch + embeddings
• Snowflake + dbt + Hex
• Claude Code everywhere

And Now a Little Bit About Us...

Incredible Health is the largest software and AI‑powered healthcare career marketplace, trusted by over 1,500 U.S. hospitals, ambulatory surgery centers, home health organizations and over one million U.S. nurses, technicians, and technologists. Our vision and mission is to help healthcare professionals live better lives, and find and do their best work. Our software and AI technology custom matches healthcare employer's nurse and technician hiring needs with experienced, permanent nurse and technician talent for hard‑to‑fill roles, resulting in faster hiring, cost savings and growth for employers, and expanding opportunities for healthcare workers. We’re backed by $100M from top tier venture capital firms Andreessen Horowitz, Obvious Ventures, Base10, Kaiser Permanente, and Johns Hopkins. Incredible Health is headquartered in San Francisco, CA, supports US‑based remote employees, and operates nationally.

Working Here Is Awesome Because

• We’re moving quickly so things never get stale.
• We get to make a difference in the lives of healthcare workers who are truly amazing people.
• We are a very high‑caliber team of medical doctors, nurses, software engineers, designers, sales leaders, account managers, and more.
• We offer a competitive, market based salary aligned with your skills and experience
• Our comprehensive benefits package covers medical, dental and vision coverage with shared premiums
• Our company sponsored 401(k) allows you to save for retirement
• Commission and/or equity may be offered based on the position
• Unlimited vacation, so take a break when you need it!
• We have a generous family leave policy so that you can spend time bonding with new additions to your family.
• We welcome candidates with backgrounds that are commonly underrepresented in our industries.
• We deeply value culture, community, and camaraderie amongst our team - we strive to create a work environment that lets you have fun and celebrate (team events and trivia galore!).

Incredible Health is proud to be an equal opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

We are committed to inclusion of all individuals and will make reasonable accommodationsfor qualified individuals with disabilities in our job application process. If you require assistance or accommodations to participate in the job application or interview process, please contact [e-mail].

At Incredible Health, we believe that great ideas come from anywhere. Our core values steward kindness and respect for everyone with a zero tolerance for harassment. We support, welcome and value open participation from individuals with different ideas, experiences, and perspectives.