Giga ML builds emotionally intelligent AI voice agents that handle real-time customer support for large, compliance-focused enterprises.
ABOUT GIGA Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point. While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies. If being part of that resonates with you, we'd love to hear from you! - Voice AI startup Giga raises $61M Series A https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a/ - DoorDash and Giga Partnership https://www.linkedin.com/feed/update/urn:li:activity:7391576181009018883/ THE ROLE We're looking for backend engineers to build the infrastructure and systems that power our AI agents. You'll work across the stack, from data pipelines and analytics to real-time agent systems, shipping features that directly impact how our customers operate. This isn't a role where you'll be handed a spec and asked to execute. You'll own problems end-to-end: figuring out the right approach, building it, and iterating based on what you learn. WHAT YOU'LL WORK ON A few examples from our current roadmap: - Analytics rewrite: Migrating our analytics service to ClickHouse and rebuilding it to scale through our next 10x of growth - Hallucination detection: Improving our detection systems with the goal of driving hallucination rates toward zero - Browser use agent: Scaling, stabilizing, and adding features and accuracy to our browser use agent in lieu of formal customer APIs As a senior engineer, you'll be expected to make sound technical decisions, ship reliably, and help set the bar for code quality and system design. You'll have significant autonomy and influence over what gets built and how. TECH STACK - Backend: Python (Django/FastAPI), TypeScript (Node.js) - Infrastructure: AWS, Modal, Kubernetes, Postgres - Frontend: TypeScript, Next.js (you'll interact with this, but it's not the focus) YOU MIGHT BE A FIT IF YOU - Have 4+ years building backend systems, ideally at companies where reliability and scale mattered - Are comfortable with ambiguity: you can take a loosely-defined problem and figure out what to build - You'll jump into unfamiliar parts of the codebase when that's what the problem requires - Write clean code and care about getting the details right, but also know when to ship - Want to work on hard problems with a small team where your work has obvious impact - Are excited about AI agents and the infrastructure challenges that come with running them in production PERKS & BENEFITS - Competitive base + bonus + equity - Catered lunch daily - Dinner stipend - $500/month wellness & commuter benefit (gym, fitness classes, mental health) - 401(k) plan - Medical, dental, and vision coverage Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.