Full-Stack Software Engineer

At Atonom.ai, we are defining the Autonomous Era by building the world’s first true "Cloud Employees", intelligent AI agents capable of executing complex work across Sales, Marketing, Support, and HR.

We believe that growth should be limited only by ambition, not headcount.

By moving beyond simple automation to genuine autonomy, we empower businesses to scale their workforce instantly and efficiently.

Join us as we build the infrastructure for the next generation of work, where human creativity pairs with limitless machine execution to achieve the impossible.

On-site only: This position is not remote.

You must be able to work from our Provo, Utah office during normal business hours (Monday–Friday).

Occasional evenings or weekends may be needed for critical launches and go-lives.

What you’ll do

• Design, build, and scale production systems across the stack (frontend and backend) in order to power our AI conversation and workflow platform.
• Lead architecture for microservices and event-driven systems while setting patterns for reliability, performance, and observability.
• Ship high-quality, secure features from spec to production, including API design, data modeling, code reviews, CI/CD, and instrumentation.
• Collaborate with AI and Product teams to turn business problems into robust software that integrates prompts, automations, and guardrails.
• Improve developer experience through testing strategies, build pipelines, documentation, and operational runbooks.
• Partner with Customer Success during go-lives to ensure smooth deployments and capture learnings.

Who you are

• 5+ years of professional software engineering experience building and shipping production systems at scale.
• Strong proficiency in JavaScript/TypeScript and a modern frontend framework (React, Vue, or similar) plus HTML/CSS and responsive design.
• Backend expertise in Go or Python (Go preferred) with a strong understanding of API design, concurrency, and performance tuning.
• Deep experience with PostgreSQL including indexing, query optimization, and migrations with a pragmatic approach to data modeling.
• Strong communicator who can explain tradeoffs to both technical and non-technical stakeholders.