Applied AI Engineer, Team Lead

present of AI; San Francisco (CA); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Luminai is seeking an engineer to run experiments on AI systems, build evaluation frameworks, and fine-tune models for a live product used in critical hospital workflows. The role requires shipping production ML, strong algorithm and system design grounding, and the ability to mentor a team while setting direction on ambiguous problems.

The position emphasizes measuring model performance, designing evaluations, and monitoring to ensure reliability in a regulated healthcare setting.

Competenze

• Several years of shipping production code for ML systems.
• Strong grounding in algorithms and system design.
• Judgment to set technical direction on ambiguous problems.
• Experience leading and unblocking other engineers.
• Hands-on model work, measurement-oriented evaluation and monitoring.
• Experience shipping models to production and exposure to distributed systems.

Mansioni

• Run experiments on AI systems and build evaluation frameworks.
• Fine-tune models and translate results into a live product for hospital workflows.
• Mentor and guide other engineers, helping unblock technical challenges.
• Define and implement monitoring to ensure model reliability in production.
• Shape technical direction on ambiguous problems in a regulated healthcare context.

Conoscenze

Production code shipping

Evaluation design

Observability

Distributed systems

Mentoring

Fine-tuning models

Descrizione del lavoro

This role asks for an engineer who can run experiments on AI systems, build evaluation frameworks, and fine tune models, then carry those results into a live product used for critical hospital workflows. A strong candidate brings several years of shipping production code, solid grounding in algorithms and system design, and the judgment to set technical direction on ambiguous problems. Leading and unblocking other engineers matters as much as hands on model work.

How it fits the AI era

The work sits at the center of the shift toward AI handling repetitive back office tasks in healthcare, so the role is about making models reliable enough to trust in production rather than just capable. Much of the job is measurement: designing evaluations and monitoring so model behavior can be checked in settings where errors carry real consequences. Human judgment stays central in framing experiments, weighing tradeoffs, and mentoring the team through unclear calls.

How it builds AI experience

A person here would gain hands on practice with model fine tuning, evaluation design, and observability for AI systems running in a regulated industry. Building that experience means getting comfortable with benchmark design and production monitoring, and learning how automation fits into hospital operations such as referral intake and claims work. Prior work shipping models to production and any exposure to distributed systems would strengthen a case.

Worth showing

• Production ML shipping
• Technical mentoring

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Luminai

An AI automation platform for hospital and health system back-office operations, handling referral intake, patient registration, payor contracts and denials.