Applied AI Engineer

Luminai; San Mateo (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

A tech company specializing in AI automation is seeking a Software Engineer to enhance its AI systems. The role involves designing experiments, optimizing machine learning models, and collaborating on product development. Candidates should have a strong foundation in computer science and proven experience in shipping high-quality code. The compensation range for this position is competitive, ranging from $170K to $250K, reflecting the high level of expertise required.

Qualifications

• Proven track record of shipping high-quality code in challenging projects.
• Solid fundamentals in algorithms, data structures, and system design.
• Experience shipping ML models to production.

Responsibilities

• Design experiments and test ideas to optimize key internal AI benchmarks.
• Train, fine-tune, and optimize machine learning models.
• Collaborate on core product development to boost platform capabilities.

Skills

High-quality code

Algorithms

Data structures

System design

Machine learning models

Attention to detail

First-principles thinking

Education

Bachelor's or Master's degree in Computer Science

Job description

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processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.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 significant amounts of capital from the best Silicon Valley VCs: General Catalyst, Peak XV (fka Sequoia India), YCombinator, as well as from investors 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.

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

Compensation Range: $170K - $250K