Principal AI Engineer

About the Role

As a Principal AI Engineer at Innovaccer, you will be one of our most senior engineers and you will stay deep in the code. You'll personally design and build the hardest, highest-impact parts of our platform - backend services, data pipelines, and the AI/ML-powered features that increasingly define our products - while setting the technical bar for how those systems are built. This is a builder's role first: you'll write production code, own complex components end to end, and lead by doing, while also guiding architecture and mentoring the engineers around you. You'll work closely with product, clinical, and engineering peers to turn ambitious healthcare goals into robust, scalable software that ships. If you want to operate at Principal scope without stepping away from the keyboard, this role is for you.

A Day in the Life

• Design, build, and ship the most complex and critical components of Innovaccer's platform - backend services, APIs, and data pipelines - writing high-quality production code yourself.
• Build AI/ML-powered product features end to end: integrating models, designing the systems and data flows around them, and ensuring they perform reliably in production.
• Own technical architecture for major systems, making hands-on design decisions for scalability, performance, security, and cost, then implementing them.
• Lead by example on engineering best practices across the full SDLC - code quality, testing, security, observability, and operational excellence - and raise the bar through the code you write and review.
• Build resilient, well-tested services that integrate cleanly across products and with external healthcare systems.
• Ensure the software you build complies with healthcare and data-protection requirements, including HIPAA and GDPR, embedding compliance and security into the implementation.
• Debug, profile, and harden production systems, taking ownership of reliability and incident response for the systems you build.
• Provide hands-on technical mentorship to senior and staff engineers through design reviews, pairing, and code review.
• Partner with product and clinical stakeholders to turn real-world needs into well-scoped, technically sound designs you can deliver.
• Evaluate and select technologies, frameworks, and tooling, balancing capability, cost, risk, and time-to-value.