Komodo Health

Senior Software Engineer, AI

Komodo Health

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California, Illinois, New York • 🇺🇸 United States

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Salary

💰 $220,000 - $253,000 per year

Job Level

Senior

Tech Stack

DjangoFlaskPythonReactVue.js

About the role

  • Design and deliver AI-native products and tools that solve healthcare challenges and optimize internal workflows
  • Build and extend AI features across the full stack and integrate AI capabilities into Komodo’s platform
  • Drive the full product lifecycle: gather requirements, shape technical designs, and deliver complete features
  • Rapidly prototype and experiment using GenAI models, chaining techniques, and orchestration frameworks
  • Launch internal AI agents to enhance engineering workflows and automate routine tasks
  • Partner with engineers, product teams, and operational stakeholders to identify AI leverage points
  • Research and apply state-of-the-art AI techniques (LLMs, agent-based systems, generative models) to structured and unstructured data
  • Build internal systems that enhance developer productivity (code review agents, documentation generators, prompt libraries)
  • Transition successful prototypes into robust, scalable systems with attention to reproducibility, observability, and maintainability
  • Mentor others in prompt design, agent orchestration, and rapid iteration; implement model governance and transparency mechanisms

Requirements

  • Track record of building AI-powered systems that move rapidly from prototype to production
  • Strong proficiency with LLMs, prompt engineering, and context engineering
  • Experience with agent orchestration and multi-agent systems
  • Fluency in Python
  • Hands-on experience with Gen AI frameworks (Chat Completions API, vLLM, Crew AI, Strands, etc.)
  • Full stack engineering experience (front-end frameworks such as React or Vue; back-end systems like FastAPI, Django, or Flask)
  • End-to-end product ownership and ability to translate business needs into product requirements
  • Deep understanding of AI/ML fundamentals with applied experience
  • Comfort building quick demos, debugging AI behavior, and translating ideas into agent workflows or model pipelines
  • Engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability
  • Strong communication and collaboration skills
  • Degree in Computer Science, Machine Learning, or related field — or equivalent hands-on experience
Benefits
  • Eligible for performance-based bonuses
  • Eligible for equity awards
  • Comprehensive health, dental, and vision insurance
  • Flexible time off and holidays
  • Paid time off for vacation, sickness, holiday, and bereavement
  • 401(k) with company match / 401k Retirement Plan
  • Disability insurance and life insurance
  • 100% company-paid life insurance
  • Long-term disability insurance
  • Leaves of absence in accordance with applicable state and local laws and company policy
  • Prepaid legal assistance
  • Competitive total rewards package
  • Hybrid work model with remote work options and regional remote roles

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI-native product designfull stack engineeringLLMsprompt engineeringagent orchestrationPythonGen AI frameworksFastAPIDjangoFlask
Soft skills
communicationcollaborationmentoringproduct ownershipproblem-solvingdebuggingrapid iterationtranslating business needsengineering disciplineattention to detail
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