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Luminai

Applied AI Engineer

SF Bay Area (United States)
Salary
$170K - $250K
Level
Mid

Not stated in the posting: work type, visa.

Open. First seen 14 March 2026.

Apply on the company's site →

About the role

About Luminai

Luminai's standard text

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processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.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

  • Design experiments and test ideas to optimize key internal AI benchmarks
  • Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
  • Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
  • Collaborate and contribute on the core product development to deliver higher platform capabilities
  • Set up observability and monitoring systems to safety check model behavior in critical settings

What We're Looking For

  • Proven track record of shipping high-quality code in challenging projects
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
  • Solid fundamentals in algorithms, data structures, system design
  • Attention to detail and a first-principles thinking towards real world deployment of intelligent systems.
  • Experience shipping ML models to production

Bonus

  • Previous experience working with distributed computing systems in production

What this role asks for

Standard for data science / ML roles

Machine Learning

Common in data science / ML postings at any company.

76% of this description is written for the role. The rest is Luminai's standard text, folded away below.

Read against Luminai's other open postings on this site.

The team: Engineering

This role is one of 8 open in Engineering.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

JavaScript (4 of 8), Python (4 of 8), TypeScript (3 of 8), AWS (2 of 8), Azure (2 of 8), CI/CD (2 of 8), GCP (2 of 8)

OTHER ROLES ON THIS TEAM

From the team and dates on Luminai's own job board.

Salary context

35 other open postings titled Applied AI Engineer state a salary: median USD 152,000 to USD 250,000 a year.

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