Artificial Intelligence Engineer

Strativ Group
San Francisco, US
On-site

Job Description

The opportunity is with a category-defining Generative AI startup. Backed by tier-1 VCs with $160M+ in funding, they are hiring a Senior ML Engineer to own the design and delivery of production LLM and agent systems within healthcare workflows.

The company has moved well past proof-of-concept. At 125 people with a clear roadmap to 200, they are building the infrastructure that will define how healthcare automates, serving both enterprise health systems and direct consumers. The problems are real, the regulatory constraints are serious, and the stakes are high.

About the Role

This is a production engineering role, not a research one. You will own end-to-end: architecture, evaluation, deployment, and monitoring of LLM-driven products. You will design agentic workflows, build retrieval-augmented generation pipelines, and continuously optimize for reliability, latency, and cost in one of the most regulated and consequential industries in the world.

Responsibilities

  • Architect and ship production-grade LLM systems: from RAG pipelines to multi-agent orchestration frameworks into live healthcare environments
  • Own evaluation, monitoring, and reliability engineering across LLM-driven product features
  • Optimise model performance across the latency, cost, and reliability tradeoff space
  • Collaborate directly with Product, Clinical, and Engineering teams to turn advanced AI capabilities into compliant, scalable solutions
  • Set architectural patterns and engineering standards as an early senior hire with real influence over how the platform is built

Qualifications

  • 2-5 years in ML Engineering with a strong track record of shipping to production
  • Deep hands-on experience with LLM ecosystems — Transformers, embeddings, RAG architectures
  • Experience building and deploying agent-based systems and orchestration frameworks
  • Strong software engineering fundamentals: Python, APIs, distributed systems
  • Cloud deployment experience across AWS, GCP, or Azure
  • Comfortable operating with high ownership in a fast-moving, high-growth environment
  • Bonus: Experience in healthcare, healthtech, or other regulated domains

The role is offer a salary of up to $250,000 per annum also a wealth of benefits. These include bonus, hybrid working in Palo Alto & more.

Skills & Requirements

Technical Skills

Llm ecosystemsTransformersEmbeddingsRag architecturesPythonApisDistributed systemsAwsGcpAzureOwnershipPaceInfluenceJudgmentGenerative aiHealthcareHealthtech

Salary

$250,000+

year

Employment Type

FULL TIME

Level

mid

Posted

4/15/2026

Apply Now

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