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2 часа назад

Technical Lead (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Lead (AI/LLM): Owning the architecture and evolution of an AI-driven telehealth platform built with GCP, Go, Python, and TypeScript, with an accent on production LLM integration, distributed systems, and healthcare data pipelines. Focus on designing event-driven services, optimizing and evaluating prompts, building observability and automated QA for clinical data, and leading critical technical initiatives as a player-coach.

Location: United States — Remote; flexible Bay Area hybrid collaboration is also available.

Company

hirify.global builds telehealth support solutions that simplify virtual care delivery across medical specialties and all 50 U.S. states.

What you will do

  • Own the architecture and evolution of distributed systems on GCP, including Cloud Run, Pub/Sub, and BigQuery.
  • Make technical decisions across Go, Python, and TypeScript, including service boundaries, data models, and technology trade-offs.
  • Lead hands-on integration of open-source LLMs, embeddings, and speech models, including prompt optimization, evaluation, and safety practices.
  • Improve observability, reliability, and scalability for event-driven ingestion and automated QA pipelines handling call transcripts and healthcare data.
  • Write production code, lead major technical initiatives, identify gaps, and unblock delivery.
  • Explain technical constraints and strategy to Product, Design, and Clinical Operations.

Requirements

  • 8+ years of software engineering experience and 2+ years leading projects or working as a Tech Lead.
  • Staff-level scope or equivalent technical impact, with hands-on production LLM experience.
  • Expert proficiency in Go, Python, or TypeScript/Node, with the ability to review code across the stack.
  • Deep experience with distributed systems, Docker, Kubernetes or Cloud Run, and event-driven architectures.
  • Strong written and verbal communication skills, including RFC writing and explaining technical strategy to non-technical stakeholders.
  • Experience with healthcare or regulated environments is relevant, including HIPAA, SOC 2, FHIR, HL7, or Medplum.

Nice to have

  • Applied machine learning or AI infrastructure experience.
  • Experience hosting or integrating open-source models such as vLLM or Ollama.
  • Strong understanding of RAG architectures.

Culture & Benefits

  • Small, senior Agile engineering team with a high-ownership environment.
  • Flexible Bay Area hybrid collaboration without rigid in-office rules.
  • M-series Macs, Linear, GitHub, and GCP tooling.
  • Competitive compensation, equity, flexible PTO, and medical, dental, and vision plans.
  • Flexible Spending or Health Savings Accounts, 401(k) with company match, life insurance, and pet insurance.
  • Potential career growth into an Engineering Manager role.

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