Staff AI Software Engineer at Komodo Health

San Francisco, California, United States

Komodo Health Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Requirements

  • Thrive in a fast loop of experimentation, iteration, and validation
  • Move quickly from idea to working prototype using AI tools
  • Know when to apply engineering discipline to scale solutions
  • Approach AI like product managers, owning the full lifecycle of intelligent systems: rapid prototyping, feedback-driven iteration, scalable deployment
  • Deep focus on how AI systems deliver value, evolve over time, and integrate across the broader product ecosystem
  • Experience serving as a multiplier, accelerating innovation and reshaping internal systems (e.g., engineering workflows, business automation)
  • Ability to deliver production-ready AI products and models improving precision and scalability
  • Skills in rapidly prototyping and launching internal AI agents for workflows, automation, and operations
  • Capability to shape and operationalize AI strategy across products, teams, and platforms
  • Experience mentoring in prompt design, agent orchestration, and rapid iteration
  • Proficiency in building novel workflows combining speed, creativity, and technical rigor
  • Knowledge of implementing ethical, trustworthy AI (feedback loops, model governance, transparency)

Responsibilities

  • Designing and delivering AI-native products and tools solving healthcare challenges and optimizing internal workflows
  • Building and extending AI features across the full stack for production-readiness and platform integration
  • Driving the full product lifecycle: gathering requirements, shaping technical designs, delivering features connecting AI to customer/business value
  • Driving experimentation via working demos and iterating based on fast user/data feedback
  • Prototyping rapidly using GenAI models, chaining techniques, and orchestration frameworks (testing ideas in days)
  • Partnering with engineers, product teams, and operational stakeholders to identify AI leverage points
  • Delivering production-ready AI products/models improving core analytics platform precision/scalability
  • Prototyping/launching internal AI agents enhancing engineering workflows, automating tasks, streamlining operations
  • Shaping/operationalizing AI strategy by embedding AI-native thinking across products/teams/platforms
  • Mentoring others in AI problem-solving via best practices in prompt design, agent orchestration, rapid iteration
  • Contributing to IP portfolio with novel workflows
  • Setting standards for ethical, trustworthy AI via feedback loops, model governance, transparency

Skills

Key technologies and capabilities for this role

AIMachine LearningSoftware EngineeringPrototypingScalable DeploymentAlgorithmsHealthcare Analytics

Questions & Answers

Common questions about this position

What is the salary or compensation for this Staff AI Software Engineer role?

This information is not specified in the job description.

Is this Staff AI Software Engineer position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Staff AI Software Engineer role?

The role requires thriving in fast experimentation, iteration, and validation; rapid prototyping with AI tools; engineering discipline for scaling; and approaching AI like product managers, owning the full lifecycle from prototyping to deployment.

What is the company culture like at Komodo Health?

Komodo Health emphasizes values like be awesome, seek growth, deliver 'wow,' and enjoy the ride, with a team of ambitious, supportive Dragons who share a passion for reducing the burden of disease while enjoying the journey.

What makes a strong candidate for this Staff AI Software Engineer position?

Strong candidates thrive in rapid AI prototyping and iteration, own the full lifecycle of intelligent systems like product managers, deliver production-ready AI products, mentor others in AI best practices, and contribute novel workflows combining speed, creativity, and rigor.

Komodo Health

Data-driven insights for patient care improvement

About Komodo Health

Komodo Health focuses on enhancing patient care and minimizing disease impact through data analysis. Their platform, known as the Healthcare Map™, provides detailed insights by examining a wide range of data related to patients, healthcare providers, and health systems. This allows various stakeholders in the healthcare sector, including life sciences companies, patient advocacy groups, healthcare practitioners, and payers, to make informed decisions that improve patient outcomes and reduce costs. Unlike many competitors, Komodo Health emphasizes a patient-centered approach, ensuring that clinical innovations are aligned with the needs of patients. The ultimate goal of Komodo Health is to collaborate with partners to alleviate the burden of disease and ensure that effective therapies reach those who need them most.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$500MTotal Funding
LATE_VCCompany Stage
Data & Analytics, HealthcareIndustries
501-1,000Employees

Benefits

Competitive salary & equity compensation
Full medical, dental, & vision benefits
Mobility across San Francisco & New York City Offices
Paid Family leave
Flexible working hours
Flexible PTO
Personal wellness stipend
401(k) employer match

Risks

Increased competition from AI-driven healthcare analytics firms threatens market share.
Rapid AI evolution may outpace Komodo Health's current capabilities, requiring R&D investment.
Data privacy concerns and regulatory changes could impact data access and operations.

Differentiation

Komodo Health's Healthcare Map offers the largest actionable patient data repository.
The platform integrates AI to provide real-time insights across 330 million patient journeys.
Komodo Health's KPI dataset offers unprecedented depth in patient insurance insights.

Upsides

AI-driven patient stratification enhances personalized medicine and treatment effectiveness.
Real-time data analytics improve patient care and operational efficiency.
AI in drug discovery accelerates therapy development, reducing time and costs.

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