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