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Innovaccer

Healthcare data analytics platform.

Staff Artificial Intelligence Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedHybrid

About the Job

Requirements

  • A bachelor's, master's, or Ph.D. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • At least 7 years of software engineering experience and a strong track record of personally building and shipping large-scale production systems.
  • Deep, current, hands-on coding expertise in one or more modern languages, such as Python, Java, or Go; the role requires daily coding.
  • Strong software design skills across distributed systems, backend services, APIs, and data-intensive architectures.
  • Experience building and integrating AI/ML into products, connecting models to real systems, handling data flows, and operationalizing them in production.
  • Hands-on experience operating production systems, including CI/CD, infrastructure-as-code, monitoring, performance tuning, and incident response.
  • Familiarity with healthcare data standards such as FHIR and HL7 and regulatory compliance such as HIPAA and GDPR, or ability to ramp quickly in a regulated domain.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure and containerization/orchestration tools such as Docker and Kubernetes.

Responsibilities

  • Design, build, and ship complex and critical platform components, including backend services, APIs, and data pipelines, while personally writing production code.
  • Build AI/ML-powered product features end to end by integrating models, designing supporting systems and data flows, and ensuring reliable production performance.
  • Own technical architecture for major systems, make hands-on design decisions for scalability, performance, security, and cost, and implement those decisions.
  • Lead engineering best practices across the full software development lifecycle, including code quality, testing, security, observability, and operational excellence, through code contributions and reviews.
  • Build resilient, well-tested services that integrate across products and with external healthcare systems.
  • Ensure software complies with healthcare and data-protection requirements, including HIPAA and GDPR, by embedding compliance and security into implementation.
  • Debug, profile, and harden production systems, and own reliability and incident response for systems built.
  • Provide hands-on technical mentorship to senior and staff engineers through design reviews, pairing, and code review.
  • Partner with product and clinical stakeholders to translate real-world needs into well-scoped, technically sound designs and deliver them.
  • Evaluate and select technologies, frameworks, and tooling, balancing capability, cost, risk, and time-to-value.

About the Company

Innovaccer

Healthcare data analytics platform.

Innovaccer provides a Health Cloud platform that connects, curates, and analyzes healthcare data to improve patient outcomes and reduce costs. The platform lets healthcare providers manage transitional care, lower 30-day readmissions, and expand primary care services, while giving pharmaceutical companies like Roche contextualized patient insights to lower development costs and risk. Revenue comes from clients paying for platform use. Unlike others, Innovaccer demonstrates value through measurable results (e.g., a CHESS $3 million value and a 23% reduction in 30-day readmissions) and earns high scores in independent analytics rankings (e.g., 94.9/100 in KLAS Data & Analytics Platforms with “A” across all six Customer Experience Pillars). The company's goal is to turn healthcare data into practical, scalable insights that improve clinical and financial outcomes for providers, life sciences partners, and patients.

Company size
1,001-5,000
Company stage
Private
Total funding
$653.1M
Headquarters
San Francisco, CA
Founded
2012

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