Applied AI Engineer
About The Position
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 an Applied AI Engineer, you will design and deploy end-to-end AI solutions that power real products and internal tools. You’ll work at the intersection of applied research, engineering, and product development, bringing modern AI techniques into scalable production systems. You’ll collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized.
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 such as: 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.
- At Komodo, AI is core to how we build. Engineers in this role are expected to actively experiment with new AI techniques, share learnings across teams, and contribute to evolving best practices for building reliable, scalable AI systems. You will play a key role in shaping Komodo’s AI-first engineering culture.
Nice To Haves
- Healthcare data expertise.
- Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.
Responsibilities
- Designing, building, and deploying end-to-end AI systems for both product features and internal tooling.
- Developing agent pipelines, prompt chains, and orchestration frameworks for LLM-driven workflows.
- Selecting the appropriate AI techniques (LLMs, classic ML, or hybrid approaches) for specific problems.
- Collaborating with product managers, 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
