Staff Software Engineer, End-to-End LLM & Automation

Chosen HQ LLC; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Chosen HQ LLC seeks an engineer to own complete systems—from design to production—for an AI-driven browser automation platform. You will work on the three-layer product: agents that build and repair automations, the console/API used by customers, and the underlying infrastructure running at scale in production.

You will need strong judgment, shipped LLM-powered features to real users, and comfort working across frontend, backend, database, and cloud infrastructure.

Qualifications

• Two or more years building and running software in production.
• Owned a system end to end and was the one paged when it broke.
• Shipped LLM-powered features to real users and can discuss agent failures.
• Worked across frontend, backend, database, and infrastructure on production cloud systems.
• Built things in direct response to customer feedback and enjoy those conversations.
• Move quickly, iterate on what you learn, and care about craft.

Responsabilités

• Own whole systems from design through production for the product with three layers: agents, console/API, and scalable infrastructure.
• Carry large pieces of each layer through development and production deployment.
• Provide reliable, scalable, and observable automation at scale in real production traffic.
• Define engineering standards and practices for a team that is about to grow.
• Collaborate across frontend, backend, database, and infra to ship end-to-end features prioritized by customer needs.

Connaissances

Production software

End-to-end ownership

LLM features

Full-stack work

Customer feedback

Fast iteration

Outils

AWS

Browser automation

Distributed systems

Description du poste

Chosen HQ LLC seeks an engineer to own complete systems—from design to production—for an AI-driven browser automation platform. You will work on the three-layer product: agents that build and repair automations, the console/API used by customers, and the underlying infrastructure running at scale in production.

You will need strong judgment, shipped LLM-powered features to real users, and comfort working across frontend, backend, database, and cloud infrastructure.