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Komodo HealthKomodo HealthSan Francisco, CA

Full-Stack AI Engineer

Design and deploy end-to-end AI systems powering real products. Own the full intelligence stack including retrieval, agent orchestration, evals, and governance. Requires Python, LLM experience, and production AI system building.

156k – 270k/yr
Hybrid5+ YOEML Engineering

About the role

What You'll Own

  • Designing, building, and deploying end-to-end AI systems across the full intelligence stack — from data context and retrieval to agent orchestration, evals, versioning, and governance.
  • Developing agent pipelines, prompt chains, and orchestration frameworks for LLM-driven workflows.
  • Selecting the right AI technique (LLMs, classic ML, or hybrid approaches) for the problem at hand.
  • Collaborating with PMs, engineers, and data scientists to define requirements and deliver solutions.
  • Building scalable AI services with monitoring, evaluation, and deployment pipelines.
  • Contributing reusable patterns to Komodo's AI infrastructure and internal tooling ecosystem.

Requirements

  • Experience building production-grade AI systems or AI-powered applications.
  • Strong proficiency in Python.
  • Experience working with LLMs, prompt engineering, or agent-based architectures.
  • Familiarity with modern GenAI tooling and frameworks: vLLM, CrewAI, Strands, OpenAI / Chat Completions APIs.
  • Ability to integrate AI capabilities across backend services and product interfaces.
  • Experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features.
  • Strong collaboration skills across engineering, product, and data teams.

Nice to Have

  • Healthcare data expertise.
  • Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.

Skills

PythonLLMsPrompt EngineeringAgent-Based ArchitecturesvLLMCrewaiStrandsOpenAI APIEvaluation FrameworksMonitoring Systems

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