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Platform Technical Lead, AI Labs

Leads AI platform development as a hands-on technical authority, owning GCP system design, event-driven data pipelines, AI integrations with LLMs, and observability for healthcare data. Requires 12+ years engineering experience, 5+ as Tech Lead, expert in Go/Python/TypeScript and distributed systems.

United StatesAI ResearchRemote12+ YOE

About the role

What You'll Do

  • Own system design on GCP (Cloud Run, Pub/Sub, BigQuery), including service boundaries, schemas, and reliability trade-offs.
  • Lead development of event-driven data pipelines using Airflow, Spark, ETL, and Big Data tooling.
  • Drive AI platform integration using open-source LLMs, embeddings, and speech models; define prompt optimization and evaluation strategies (e.g., LangFuse).
  • Champion observability and operational excellence across ingestion, QA, and distributed workflows—especially for call transcripts and EHR data (FHIR/Medplum).
  • Act as a player-coach: contribute code to critical paths while leading technical projects and mentoring engineers.
  • Partner closely with Product, Design, and Clinical Ops to translate complex technical constraints into clear execution paths.

Who You Are

Required Qualifications

  • 12+ years of software engineering experience; 5+ years as a Tech Lead or project lead.
  • Staff-level scope or equivalent impact.
  • Expert-level proficiency in Go, Python, or TypeScript/Node, with strong code review skills.
  • Deep experience with distributed systems, containerized deployments (Docker, Kubernetes, Cloud Run), and event-driven architectures.
  • Strong working knowledge of GCP networking and data services.

Preferred

  • Hands-on experience with open-source LLM hosting (vLLM, Ollama) and modern RAG architectures.
  • Background in regulated environments (HIPAA, SOC 2) or healthcare data standards (FHIR, HL7).
  • Strong written and verbal communication; comfortable authoring RFCs and technical strategy docs.

Skills

GCPCloud RunPub/SubBigQueryAirflowSparkETLKubernetesDockerGoPythonTypeScriptNode.jsDistributed Systems

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