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Innovaccer
Innovaccer
1,001 – 5,000 Employees
H1B Visa SponsorConsultingHealthcareLogistics
Innovaccer is a healthcare technology company building tools that help providers, payers, and life sciences organizations make better use of healthcare data. Its Health Cloud brings together fragmented information, analytics, artificial intelligence, and workflow automation to support digital transformation and more coordinated care. The platform is designed to activate clinical and operational data, simplify administrative work, strengthen patient engagement, and help organizations pursue value-based care with clearer insight into both patient and financial outcomes.
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Staff Artificial Intelligence Engineer – Innovaccer (Hybrid, San Francisco)

Lead the development of backend systems, data pipelines, and AI/ML capabilities for Innovaccer’s healthcare intelligence platform. Shape scalable, secure software used by providers, payers, and government organizations.

USUnited StatesCACaliforniaHybridFull-timeLeadEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaKubernetesPythonSDLC

Description

  • Design, develop, and deliver critical platform capabilities spanning backend services, APIs, and data pipelines
  • Develop AI/ML product functionality from model integration through production-ready system and data-flow design
  • Own the architecture and implementation of major systems, balancing scalability, performance, security, and cost
  • Advance engineering practices across the software development lifecycle, including testing, code quality, security, observability, and operations
  • Create resilient, thoroughly tested services that connect products with external healthcare systems
  • Maintain compliance with healthcare and data-protection standards, including HIPAA and GDPR
  • Investigate, profile, and strengthen production systems while owning reliability and incident response
  • Mentor engineers directly through design sessions, pairing, and code reviews
  • Work with product and clinical partners to convert practical needs into robust technical designs
  • Assess technologies, frameworks, and tools by weighing capability, cost, risk, and time to value

Requirements

  • Bachelor’s, master’s, or doctoral degree in computer science, software engineering, or a related discipline, or equivalent practical experience
  • At least 7 years of software engineering experience, including a record of personally delivering large-scale production systems
  • Current, hands-on programming expertise in one or more modern languages, including Python, Java, or Go
  • Strong design capability across distributed systems, backend services, APIs, and data-intensive architectures
  • Experience embedding AI/ML in products by connecting models to operational systems, managing data flows, and running them in production
  • Practical experience operating production software, including CI/CD, infrastructure as code, monitoring, performance optimization, and incident response
  • Knowledge of healthcare data standards such as FHIR and HL7 and regulations including HIPAA and GDPR, or the ability to quickly learn a regulated domain
  • Excellent analytical and communication skills, with the ability to align engineers and stakeholders on technical direction
  • Strong experience with cloud environments such as AWS, Google Cloud Platform, or Azure
  • Experience packaging and orchestrating applications with Docker and Kubernetes
  • Employment eligibility verification is required for newly hired employees based in the United States

Benefits

  • 20 days of fixed annual time off, plus company holidays
  • Parental leave
  • Financial incentives and company-wide recognition for meaningful impact and commitment
  • Medical, dental, and vision coverage
  • Company-paid short- and long-term disability insurance
  • Company-paid basic life insurance
  • Discounted legal assistance
  • Pet insurance

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