Spring Health

Machine Learning Engineer II

Spring Health

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $120,000 - $165,275 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPython

About the role

  • Build, design, and maintain foundational LLM infrastructure, tooling, and reusable libraries to enable product teams
  • Operationalize observability tools like LangSmith and create shared patterns for orchestration frameworks
  • Deploy and build pipelines for vector databases to enable Retrieval-Augmented Generation (RAG) across product teams
  • Contribute to proofs-of-concept and architectural groundwork for future-state LLM capabilities
  • Add logging, monitoring, and alerting to platform services to ensure stability, performance, and cost-effectiveness
  • Partner with feature teams as a consultant and enabler to understand needs and unblock AI roadmaps
  • Deliver roadmap items on schedule and produce high-quality technical designs and maintainable code
  • Mentor and share knowledge to improve internal processes and developer enablement

Requirements

  • Demonstrated experience building and delivering production-grade software, with hands-on experience in LLM or Generative AI engineering
  • Experience building internal tools, libraries, or platforms and strong API design and documentation skills
  • Strong proficiency in Python
  • Familiarity with modern AI/ML stack, including cloud services (AWS, GCP, or Azure) and CI/CD pipelines
  • Hands-on experience with orchestration frameworks (e.g., LangChain, LangGraph) and observability tools (e.g., LangSmith)
  • Experience with Retrieval-Augmented Generation (RAG) infrastructure and vector databases
  • Ability to design, build, and maintain LLM infrastructure, tooling, logging, monitoring, and alerting
  • Pragmatic problem-solving, risk identification, and sprint planning skills
  • High degree of grit, ownership, and ability to work in fast-paced high-growth environments
  • Bachelor's degree in a technical field or equivalent practical experience
  • Deep understanding of handling sensitive data, security and privacy awareness
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