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Innovaccer is seeking a Principal AI Engineer to join as one of the most senior engineers on the team. This is a hands-on builder's role where you'll stay deep in the code while operating at principal scope. You'll personally design and build the hardest, highest-impact parts of the platform—backend services, data pipelines, and AI/ML-powered features that define the products—while setting the technical bar for how systems are built.
In this role, you'll write production code daily, own complex components end to end, and lead by doing. You'll design, build, and ship critical platform components including backend services, APIs, and data pipelines. You'll build AI/ML-powered product features end to end: integrating models, designing systems and data flows around them, and ensuring reliable production performance. You'll own technical architecture for major systems, making hands-on design decisions for scalability, performance, security, and cost, then implementing them yourself.
You'll lead by example on engineering best practices across the full software development lifecycle—code quality, testing, security, observability, and operational excellence—raising the bar through the code you write and review. You'll build resilient, well-tested services that integrate cleanly across products and with external healthcare systems. You'll ensure compliance with healthcare and data-protection requirements, including HIPAA and GDPR, embedding compliance and security into implementation. You'll debug, profile, and harden production systems, taking ownership of reliability and incident response.
You'll provide hands-on technical mentorship to senior and staff engineers through design reviews, pairing, and code review. You'll partner with product and clinical stakeholders to turn real-world needs into well-scoped, technically sound designs. You'll evaluate and select technologies, frameworks, and tooling, balancing capability, cost, risk, and time-to-value.
REQUIREMENTS:
- Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or related field, or equivalent practical experience
- 10+ 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 (Python, Java, Go, or similar)—this role writes code daily
- 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 (research scientist background not required, but comfort building AI/ML-powered features is essential)
- Hands-on experience operating production systems: CI/CD, infrastructure-as-code, monitoring, performance tuning, and incident response
- Familiarity with healthcare data standards (FHIR, HL7) and regulatory compliance (HIPAA, GDPR), or ability to ramp quickly on a regulated domain
- Excellent problem-solving skills and strong communication, with ability to align engineers and stakeholders around a technical approach
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes)
