Software Engineer III -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 organisations, 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 who 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 of 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’re looking for a Software Engineer to join our Backend Engineering team. You’ll build and own highly scalable distributed services at the core of a product clinicians rely on every day. This is a hands-on backend role first and foremost — and because AI is at the heart of what we build, you’ll also help bring LLM-powered capabilities to life in production. Specifically, you will be: Collaborating with the product, design and operations teams to build a world-class product Developing, owning and maintaining highly scalable distributed services and solutions Implementing a microservices-based architecture using Golang and Python Ensure application performance, uptime, and maintain high standards of code quality Build and integrate LLM-powered features — retrieval-augmented generation, tool/function calling, and agentic workflows — with care for reliability, latency, cost, and safety Use AI-assisted development tools to ship faster, while keeping rigorous review and engineering standards intact Ok, you're sold, but what are we looking for in the perfect candidate? Expertise: You know how to code. You understand our tech stack and can be productive with it. In other words, you’ve done this before. Action-oriented: You love to build. You like to ship fast and quickly iterate. Creativity: You enjoy listening to user feedback and then building products in novel ways. You’re resourceful and enjoy finding alternate paths to success. Problem-solving: You use data to help point you in the correct direction. You optimise relentlessly. You think business and engineering problems are like puzzles, and you stick with them until they are solved. AI-fluent : You use AI and LLMs thoughtfully — to accelerate your own work and as a building block in products — with sound judgment on when, and when not, to rely on them. Humility: You’re humble and love working in a team without ego to deliver products Adaptability: You thrive in a fast-moving organisation that uses light-weight processes and cutting-edge technology to have a huge impact. Confidence: You trust your abilities, and you’re ready to push yourself to the next level. Qualifications* Strong product development experience in building distributed systems and microservices. 5 to 8 years of experience Strong programming skills on Linux using Go Strong foundation in data structures, algorithms and a strong understanding of concurrent programming Superior organisation, written/verbal communication, interpersonal and leadership skills Ability to collaborate effectively with cross-functional teams to solve complex problems and build products spanning across geographically distributed teams to deliver end-to-end products & features Ability to multitask and re-prioritise responsibilities based on changing requirements Bachelor's/Master's degree in computer science or related field It will be a huge plus if you have: Experience working with gRPC, gRPC context and Protocol Buffers Experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like GCP Hands-on experience building with LLMs — prompting strategies, RAG, agents and tool use, evaluation, or productionizing AI features Familiarity with AI-assisted coding in a professional workflow 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 me