Senior Staff Applied AI Engineer – Tech Lead

Posted 19 hours ago

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About the role

  • Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.

Responsibilities

  • Set the technical direction for agent runtime and orchestration
  • Build evaluation systems, including regression tests and AI-graded evaluations
  • Define model access and operations, including provider routing, version upgrades, and outage planning
  • Own observability and cost attribution for AI systems
  • Build retrieval and grounding over company data
  • Translate human workflows into agent workflows and determine which work must remain human-led
  • Protect patient data and ensure security and privacy in AI systems
  • Make cloud and data infrastructure decisions on GCP and partner with the Data Platform team
  • Conduct code and design reviews and mentor engineers new to AI
  • Explain AI trade-offs to product, operations, and clinical stakeholders
  • Own AI architecture and technical quality while partnering with the AI Engineering Manager on people and delivery
  • Carry long-range technical direction for AI across the company until an AI Principal Engineer is hired

Requirements

  • 12 or more years of software engineering experience, with real technical leadership experience (tech lead, staff, or principal-level scope)
  • Two or more years building and running LLM-based systems in production, not just demos or personal projects
  • Deep, hands-on expertise in agent runtime or evaluation, plus working knowledge across the rest of the AI engineering stack
  • A track record of measuring AI quality with real evaluation methods and data
  • Experience leading a small team's technical direction from zero, or close to it
  • Healthcare or other regulated-industry experience (PHI, HIPAA) preferred
  • GCP experience preferred
  • Experience building an internal platform used by other engineering teams preferred
  • Background in classic machine learning as well as LLMs preferred
  • Experience scaling a team from a single pod into multiple teams preferred
  • Authorization to work in the location of the job posting

Benefits

  • Medical, Dental & Vision
  • Flexible Spending / Health Savings Accounts
  • Generous PTO
  • Hybrid-work flexibility
  • 401(k) with Company Match
  • Life Insurance
  • Pet Insurance
  • Competitive compensation

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

CloudGoogle Cloud Platform

Location requirements

RemoteUnited States

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