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Staff Artificial Intelligence Engineer
Innovaccer. Design, build, and ship complex and critical platform components, including backend services, APIs, and data pipelines .
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesPythonSDLCGo
About the role
Key responsibilities & impact- Design, build, and ship complex and critical platform components, including backend services, APIs, and data pipelines
- Build AI/ML-powered product features end to end, integrating models and designing surrounding systems and data flows
- Own technical architecture for major systems, making hands-on decisions for scalability, performance, security, and cost, then implementing them
- Lead engineering best practices across the full SDLC, including code quality, testing, security, observability, and operational excellence
- 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
- Debug, profile, and harden production systems, owning reliability and incident response
- Provide hands-on technical mentorship through design reviews, pairing, and code review
- Partner with product and clinical stakeholders to turn real-world needs into technically sound designs
- Evaluate and select technologies, frameworks, and tooling while balancing capability, cost, risk, and time-to-value
Requirements
What you’ll need- Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- 7+ years of software engineering experience with 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
- Strong software design skills across distributed systems, backend services, APIs, and data-intensive architectures
- Experience building and integrating AI/ML into products, including 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 on a regulated domain
- Excellent problem-solving skills and strong communication, with the ability to align engineers and stakeholders around a technical approach
- Strong experience with cloud platforms such as AWS, GCP, or Azure
- Experience with containerization and orchestration using Docker and Kubernetes
- Employment eligibility verification is required for newly hired employees based in the United States
Benefits
Comp & perks- 20 days of fixed time off per year, in addition to company holidays
- Generous parental leave
- Monetary incentives and company-wide recognition for impact and dedication
- Medical, dental, and vision insurance
- 100% company-paid short- and long-term disability insurance
- 100% company-paid basic life insurance
- Discounted legal aid
- Pet insurance