Full-Stack Software Engineer at Hyperbound · LumiJobs
$190k–$225k
H1B: no
Hyperbound Full-Stack Software Engineer at Hyperbound builds AI-driven sales agents and owns end-to-end feature development from spec to production. The role involves shaping the engineering team and shipping AI that drives real sales outcomes.
Responsibilities
Technology you’ll be working with. GraphRAG, Context graph, Sub agents architectures, Voice AI, Duplex models, MCP, Multimedia processing, durable execution
Make a bet that changes the roadmap. Bring an idea, build the proof, and convince us. Your next experiment could become a core part of Hyperbound.
Build the engineering team you’ve always wanted to join. Shape how we ship, how we use AI, and what we expect from each other. High trust, direct feedback, and the freedom to do the best work of your career.
Build AI that drives real outcomes. You’ll help create agents that can reason through real sales workflows, recommend the right actions, and collaborate with humans when necessary, directly helping customers book more meetings and win more deals.
Go from “what if?” to production. Own the whole thing: spec, build, launch.
Get dangerously close to the customer. Join calls, watch people use what you built, and solve their problems
Qualification
Comfort with ambiguity and ownershipA bias toward shipping and learningStrong technical foundations
Required
3+ years of full-stack engineering experience in React, Node.js, TypeScript environments. You’ve shipped production features across the frontend, backend, and database—and owned what happens after launch.
Fluency with AI-assisted design and development. You use AI tools to prototype, build, and debug faster, with the judgment to evaluate their output and take responsibility for the code you ship.
An instinct for building AI-native products. You see where AI can meaningfully improve a workflow and think through how the experience should handle uncertainty, latency, and mistakes.
Comfort with ambiguity and ownership. You can turn an open-ended problem into a clear approach, make thoughtful tradeoffs, and carry it through to a working product without needing a detailed spec.
A bias toward shipping and learning. You know how to scope a useful first version, get it into customers’ hands, and improve it based on feedback.
Strong technical foundations, developed through a bachelor’s or master’s degree in Computer Science or a related field, or equivalent coursework and practical experience.