Full-Stack AI Engineer (evergreen)

Full-Stack AI Engineer (Evergreen)

San Francisco, CA

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.

View email address on click.appcast.io 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.

Building Marmot has sharpened our view of what this discipline actually demands. AI is rewriting what "full-stack" means — the engineers who excel here own the entire intelligence stack: data context and lineage, semantic definitions and business logic, retrieval and tool use, agent orchestration, evals and regression testing, model and prompt versioning, and permissions and governance. And they bring the product intuition to connect all of it to real outcomes. In healthcare, the stakes are higher still — AI systems must function amid messy real-world data, domain-specific definitions, privacy constraints, and high-stakes clinical and commercial decisions. Trustworthiness isn't a nice-to-have. It's the product.

Mission of the Role:

As a Full-Stack 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 operate in a lean, high-leverage pod: a small team of Full-Stack AI Engineers paired closely with a PM who deeply understands the customer workflow — built to compress the discovery loop and ship things that actually matter. You'll also collaborate with platform and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized.

Looking back on your first 12 months at Komodo Health, you will have accomplished…

• Shipped production AI features that improve the precision, usability, and intelligence of Komodo's platform.
• Designed and deployed agent-based AI pipelines integrated into real customer-facing products.
• Built internal AI productivity tools that accelerate engineering workflows across Komodo.
• Prototyped and validated new AI approaches using emerging research and model capabilities.
• Contributed reusable prompt templates, orchestration patterns, and AI system architecture.
• Implemented monitoring, evaluation, and observability frameworks for deployed AI services.

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.

What you bring to Komodo Health (required):

• 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.

Expectations of AI Use in this role (required):

• At Komodo, AI is core to how we build. Full-Stack AI Engineers 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.

Additional skills and experience we'd prioritize (nice to have):

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

Compensation bands are inclusive of two levels

Location flexible: NYC or SF hybrid, or remote

***Of note, this role will remain posted until July 17, so we have time to review applications thoughtfully. Once all current resumes have been reviewed, the role will be reposted as needed.

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company's sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City:

$179,000 - $270,000 USD

All Other US Locations:

$156,000 - $235,000 USD

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. Where You'll Work

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We