Full-Stack AI Engineer (evergreen)
Job Location:
San Francisco, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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. Thats why we built the Healthcare Map the industrys 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 healthcares most complex questions for our partners. Across the healthcare ecosystem were 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.
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 Opportunity at Komodo Health:
Healthcare in the U.S. is a mess. Komodo Health is fixing thatwith data. Weve mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customerspharma companies payers and health systemsuse this data to make decisions that meaningfully improve patient outcomes.
builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot Komodos AI-native productdesigned with AI embedded directly into both the interface and the development workflow. By combining Komodos 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 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 isnt a nice-to-have. Its 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. Youll work at the intersection of applied research engineering and product development bringing modern AI techniques into scalable production systems.
Youll 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. Youll 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 Komodos 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 Youll 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 Komodos 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 Komodos AI-first engineering culture.
Additional skills and experience wed 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 Companys sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity 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:
$179000 - $270000 USD
All Other US Locations:
$156000 - $235000 USD
Komodos AI Standard
At Komodo were not just witnessing the AI revolution were leading it. This is a pivotal moment in time where being first to market with AI transforms industries and sets the bar. Weve already established industry leadership in leveraging AI to revolutionize healthcare and we expect every team member to here isnt optional; its foundational. We expect you to integrate AI into your daily work from summarizing documents to automating workflows and uncovering insights. This isnt just about efficiency; its 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 Youll 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 were building intentional in-office rhythms alongside the flexibility thats 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 prohibit discrimination and harassment of any type with regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
By submitting your application you acknowledge that you have read and understand Komodo HealthsPrivacy Notice for Employees and Contractors.
This notice explains how we collect use and retain applicant data.
Required Experience:
IC
About Company
Get the most accurate, patient-centric view of the U.S. healthcare system. Scale insight generation with NLP-based AI and an enterprise platform.
