2 часа назад
Technical Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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