Applied AI Engineer
San Mateo, CA · HybridFull-time$170–250K/yrPosted 10mo agoStill listed today
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At a glance
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Job overview
Luminai is seeking an Applied AI Engineer to research, experiment with, and improve AI systems for its automation platform. The role focuses on model training and evaluation, experimentation frameworks, core product development, and monitoring model behavior in critical production settings. The team works in-office four days a week in San Francisco or New York, with Wednesday optional work from home.
Skills & qualifications
Skills
Qualifications
Full job description
About Luminai
Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.
Luminai structures the chaos, automates the manual handoffs, and deploys end-to-end workflows across every system, providing the integrated intelligence layer to improve processes over time. By delegating to autonomous AI systems those mission-critical workflows that previously expended valuable human time, Luminai allows doctors and administrators to do what they do best: Focus on Patients.
We've raised $60M in funding, including our recent Series B led by Peak XV Partners (formerly Sequoia India), with participation from healthcare-focused Define Ventures and continued support from General Catalyst and Y Combinator. We're backed by some of the best investors in Silicon Valley, including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter), and CEOs of companies such as Flexport, Notion, Front, Ramp, and Twitch.
Our team is in-office 4 days a week (Monday - Friday, Wednesday optional WFH) in either San Francisco, California or New York, New York.
About the role As a Software Engineer working on AI systems, you will play a foundational role in research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI automation platform. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. You are expected to have a strong proficiency in fundamentals of software engineering, a willingness to pick new concepts as needed and an ability to drive technical projects in ambitious environments.
What You'll Do
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Design experiments and test ideas to optimize key internal AI benchmarks
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Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
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Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
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Collaborate and contribute on the core product development to deliver higher platform capabilities
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Set up observability and monitoring systems to safety check model behavior in critical settings
What We're Looking For
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Proven track record of shipping high-quality code in challenging projects
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Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
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Solid fundamentals in algorithms, data structures, system design
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Attention to detail and a first-principles thinking towards real world deployment of intelligent systems.
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Experience shipping ML models to production
Bonus
- Previous experience working with distributed computing systems in production
How this job compares
Set against the 42,014 open Software Engineer jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This posting$170–250K/yr
- California median$165–247K/yr7,795 salary ranges
- US median$135–219K/yr33,394 salary ranges
This range's midpoint, $210K, is close to the California median midpoint ($205K) — in the middle half of Software Engineer salary ranges in California.
- Openings
- Olive Jobs lists 9,716 open Software Engineer jobs in California and 42,014 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Software Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (34,413 postings).
- Education
- 13,315 of the 42,014 open Software Engineer jobs (32%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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