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Giga is seeking experienced backend engineers in San Francisco to build robust infrastructure for AI agents. You will work with technologies like Python and TypeScript to directly influence how customers operate.
The role involves tackling challenging problems and delivering impactful solutions as part of a small team with a focus on innovation. Competitive salary, bonuses, and equity are offered.
Location: On‑site in San Francisco – Dogpatch neighborhood.
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 are 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.
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.
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.
Compensation Range: $200K – $400K