Staff Engineer (Backend)

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 that uses 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. What will you do every day? We are looking for strong Staff Engineers to join our Backend Engineering team, with exposure to Machine Learning or Data Engineering. As a Staff Engineer, you are a technical pillar for the entire engineering organization. You will leverage your deep expertise in both Backend systems and ML Inference systems to multiply the impact of our teams and define what's next for our technology. Lead Unified Technical Strategy : Define and drive the architectural vision for Suki's backend, data and ML inference platforms. Create the roadmap for how we build, deploy, and scale everything from core microservices to our most advanced model serving and data infrastructure. Architect for AI at Scale : Lead the design of robust, highly scalable systems for both our core backend (in Go and Python) and our ML infrastructure, including real-time inference APIs, offline training pipelines, data processing, and GPU orchestration. Solve the Hardest Problems : Tackle the company's most complex and ambiguous technical challenges that sit at the intersection of distributed systems and applied AI. You will break down these problems and guide multiple teams toward elegant and practical solutions. Bridge Research and Production : Serve as the key technical link between our AI/ML Research teams and our Backend platform engineering teams. Translate cutting-edge model requirements (including LLMs) into efficient, production-grade services optimized for performance, cost, and reliability. Drive Technical Excellence & MLOps : Establish and champion best practices across the organization for system design, code quality, observability, and MLOps. Set the standard for system reliability, efficient resource utilization (CPU, memory, GPU), and CI/CD for ML. Mentor and Elevate the Team : Act as a role model and mentor for senior engineers across data, Backend and ML Engineering disciplines. Foster a culture of deep technical understanding and collaboration, helping to grow the next generation of technical leaders at Suki. Remain Hands-On : Stay deeply connected to the code by prototyping new architectures, implementing foundational components for our ML inference platform, and leading the resolution of the most critical incidents and performance bottlenecks. What We're Looking For Distinguished Technical Expertise : You are a recognized expert with a proven history of architecting, building, and operating complex systems at the nexus of backend engineering and machine learning. Strategic, Systems-Level Thinker : You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity. Pragmatic and Action-Oriented : You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly. Leadership Through Influence : You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build consensus, articulate complex ideas clearly, and are a trusted technical advisor to engineering leadership. A Force Multiplier : You lead with humility and find satisfaction in mentoring others. You elevate the performance and knowledge of the entire engineering organization. Qualifications Bachelor's or Master's degree in Computer Science or a related field 8+ years of professional software engineering experience, with a proven track record of operating at a Staff, Principal, or