Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

mLabs Logo

Staff Software Engineer, Machine Learning

mLabs

$145,000 - $250,000
Nov 13, 2025
San Francisco, CA, US
Apply Now

Transforming mission-critical processes in the healthcare industry by architecting and scaling secure, reliable backend systems that power advanced Large Language Model (LLM) applications

Requirements

  • 5+ years of backend or full-stack software engineering experience, with 3+ years working specifically on ML/LLM-enabled applications
  • Strong coding skills in Python and ideally experience with one statically typed language (e.g., Go, Java, or TypeScript)
  • Experience with LLM integration frameworks (e.g., Hugging Face, LangChain, LlamaIndex, or direct APIs from OpenAI/Anthropic)
  • Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale
  • Hands-on experience with cloud platforms (AWS/GCP/Azure), Kubernetes, Docker, and Terraform
  • Excellent system design skills and familiarity with MLOps/LLMOps practices (CI/CD for models, evaluation, monitoring)
  • Experience applying LLMs in healthcare or other regulated industries (e.g., familiarity with FHIR, HL7, HIPAA)

Responsibilities

  • Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for high-volume healthcare use cases
  • Build robust ingestion, preprocessing, and Retrieval-Augmented Generation (RAG) pipelines to ground LLMs in proprietary clinical and revenue-cycle data
  • Design and implement systems for model monitoring, evaluation harnesses, cost tracking, and guardrails, ensuring reliability and responsible use in production
  • Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments
  • Implement HIPAA-ready infrastructure, robust data governance, and auditability for all LLM-powered applications in a regulated setting
  • Drive end-to-end delivery of LLM backend projects, establish engineering best practices, and mentor peers in complex LLM system design
  • Push LLMs beyond demos into mission-critical, cost-efficient, and secure production healthcare workflows

Other

  • Must be available to work 4 days a week on-site in the Burlingame office
  • Visa Sponsorship is available
  • Unlimited PTO policy
  • Comprehensive Benefits: Health, dental, and vision coverage, and 401(k) plan
  • Equity Options as part of the total compensation package