What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant thatuses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

We're bringing this together as Suki OS: modular AI building blocks that run in Suki's apps, inside EHRs like athenahealth and MEDITECH, and in 30+ partner products through our SDKs and APIs.

What you'll do

You'll build the real-time, AI-heavy platform behind Suki OS.

● Core platform for real-time clinical AI: Own the shared backend services behind every Suki module, including audio streaming, note generation, LLM orchestration and access control, built for low latency and high availability.

● AI agents end to end: Design, build, evaluate, deploy and monitor real-time and background agents, including multi-agent systems that coordinate work like prior auth, referrals and orders. Use tool calling, MCP, evals, safe rollouts and production observability.

● Partner platform and infrastructure: Evolve the gRPC/REST APIs and SDKs our partners embed, and scale messaging, storage and data on Kubernetes and GCP to HIPAA and SOC 2 standards.

● AI-native development: Use AI coding agents across the development lifecycle, and help set the tooling and review practices that keep quality high.

● Leadership: Drive design reviews, mentor engineers and stay hands-on in critical code and incidents.

What we're looking for

● 7+ years in backend engineering, including technical leadership on large-scale systems

● Expertise in Go or Python, and in gRPC, Protocol Buffers and REST APIs

● Deep knowledge of distributed systems, microservices and event-driven architectures (e.g., Pub/Sub, Kafka)

● Hands-on with Kubernetes, Docker, GCP and observability tooling (e.g., Prometheus, Grafana, OpenTelemetry)

● A pragmatic bias toward shipping, and clear communication of trade-offs

● Experience working AI-native with coding agents (e.g., Claude Code, Cursor), with the judgment to verify their output and building auto-verification and self-improvement loops.

● Bachelor's or Master's degree in Computer Science or a related field

Huge plus

● Designing, evaluating and operating LLM agents or multi-agent systems in production

● Real-time streaming or speech/audio pipelines

● Healthcare interoperability (FHIR, HL7, EHR integrations)

● ML infrastructure at scale

Tell me more about Suki

On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $250M raised so far, we have the resources to scale.