Senior Applied AI Engineer

Komodo HealthSan Francisco, CA
5hHybrid

About The Position

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health: Healthcare in the U.S. is a mess. Komodo Health is fixing that—with data. We’ve mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers—pharma companies, payers, and health systems—use this data to make decisions that meaningfully improve patient outcomes. Labs@Komodo builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot, Komodo’s AI-native product—designed with AI embedded directly into both the interface and the development workflow. By combining Komodo’s unmatched healthcare data with modern LLMs, marmot is delivering some of the most compelling real-world insights of the new AI era. Mission of the Role: As a Senior Applied AI Engineer, you own complex, full-stack AI solutions end-to-end—from applied research to production deployment. This role exists to set technical direction for ambiguous and high-impact use cases across Komodo, while scaling the AI systems, patterns, and infrastructure that enable reliable, repeatable delivery. You’ll mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture. Looking back on your first 12 months at Komodo Health, you will have accomplished… Shipped production-grade, full-stack AI solutions that materially enhance Komodo’s platform precision, reliability, or scalability. Led design and architecture for complex AI systems, including multi-agent orchestrations and advanced model pipelines. Prototyped and validated new applied research techniques, bringing academic insights into practical implementation. Designed A/B experiments and evaluation frameworks to measure AI impact in production. Mentored engineers across teams in prompt engineering, debugging, agent orchestration, and AI system design. Influenced MLOps pipeline improvements (model versioning, automated monitoring, CI/CD for AI). Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence.

Requirements

  • Proven track record of building end-to-end, production-grade AI systems.
  • Expertise with LLMs, agent orchestration, multi-agent systems, and advanced prompt engineering.
  • Strong fluency in Python and modern GenAI frameworks (vLLM, Crew AI, Strands, Chat Completions API).
  • Full-stack depth enabling seamless integration of AI across front-end and back-end systems.
  • Experience designing experiments, A/B tests, evaluation metrics, and performance instrumentation.
  • Experience collaborating with platform/infrastructure teams on MLOps workflows.
  • Strong cross-functional communication and mentorship capability.
  • You will drive experimentation across the organization, set best practices, and integrate new AI techniques into Komodo’s broader engineering ecosystem.

Nice To Haves

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

Responsibilities

  • Architecting, building, and deploying end-to-end AI systems that balance innovation with reliability and ethical considerations.
  • Leading solution design for ambiguous AI problems across Komodo’s platform and internal operations.
  • Collaborating with product, data, and platform teams to define requirements and shape strategic AI investments.
  • Designing advanced prompt chains, multi-agent flows, and complex evaluation frameworks.
  • Driving applied research by experimenting with cutting-edge models, techniques, and academic papers.
  • Contributing to internal AI standards, reusable templates, and high-performance orchestration patterns.
  • Transitioning prototypes into scalable systems with comprehensive observability, alerting, and governance.

Benefits

  • comprehensive health, dental, and vision insurance
  • flexible time off and holidays
  • 401(k) with company match
  • disability insurance and life insurance
  • leaves of absence in accordance with applicable state and local laws and regulations and company policy

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

501-1,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service