Назад
Company hidden
6 часов назад

AI Engineer (LLM Agents)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Engineer (LLM Agents) (LLM/Healthcare): Building and operating production LLM agents and assistants for telehealth infrastructure with an accent on agent orchestration, evaluation, retrieval, observability, and patient-data protection. Focus on designing reliable runtimes, measuring AI quality, integrating governed healthcare data, and controlling security and operational risks in production.

Location: United States — Remote

Company

hirify.global builds telehealth support solutions and healthcare infrastructure for virtual care delivery across all 50 states.

What you will do

  • Build and operate production LLM-based agents and assistants used by real customers.
  • Design agent runtimes and orchestration for tool calls, context management, handoffs, retries, timeouts, failure handling, and sandboxing.
  • Create evaluation datasets, test harnesses, regression tests, and AI-graded evaluations to measure quality and catch regressions.
  • Integrate multiple model providers, manage upgrades and fallbacks, and improve observability and cost attribution.
  • Connect agents to company data through retrieval-augmented generation, context design, and prompt engineering.
  • Partner with operations, product, data platform, and clinical stakeholders to design workflows, protect patient data, and determine when agents should escalate to people.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 5–15+ years of software engineering experience and hands-on experience running production LLM systems relied on by real users.
  • Strong depth in at least one area: agent runtime, evaluation, retrieval, or observability and cost.
  • Strong production engineering fundamentals across testing, debugging, services, APIs, deployment, and on-call operations.
  • Experience handling sensitive data with a security-first mindset and comfort working in greenfield environments.
  • Must be based in the United States; the role is remote.

Nice to have

  • Healthcare, finance, or insurance experience, including PHI or HIPAA.
  • Production experience with Google Cloud Platform.
  • Experience migrating systems between model versions or providers.
  • Classic machine learning experience beyond LLMs or experience building internal engineering platforms.
  • For Senior Staff level: experience leading technical direction and growing one pod into multiple teams.

Culture & Benefits

  • Relatively flat organizational structure with autonomy to contribute ideas and make decisions.
  • Values centered on autonomy, competence, and belonging.
  • Medical, dental, and vision plans for salaried positions.
  • Flexible Spending Accounts or Health Savings Accounts, flexible PTO, and 401(k) with company match.
  • Life insurance, pet insurance, and additional benefits.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →