Founding Backend Engineer (Remote) — Equity & Impact

Rise Talent Advisors; Los Angeles (CA); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity included

Job summary

Rise Talent Advisors is seeking a founding software engineer for an early-stage, venture-backed AI startup. The role is remote anywhere in the US, with Pacific time hours preferred.

You will build the core platform, primarily backend, and own features from design to production. You will design and ship document extraction and large language model pipelines, make architecture decisions, and contribute to the next major version of the product.

Qualifications

• 2–6 years as a software engineer, hands-on IC.
• Zero to one experience at an early-stage venture-backed startup or as a founding engineer.
• Proficiency in Python and TypeScript.
• Back-end architecture decisions you owned, with LLM features on top.
• LLM or agent-based features shipped to production.
• Have a CS-related degree from a top US university and include GPA.
• US citizenship or permanent residency; visa sponsorship not provided.

Responsibilities

• Build the core platform, primarily back end with some front-end work.
• Own end-to-end features from design to production, including performance and failure handling.
• Design and ship document extraction and LLM agent pipelines at the product's center.
• Make architectural decisions in collaboration with founders and engineering leadership.
• Move quickly on a small, ownership-driven team and ship iterations of the product.

Skills

Python

TypeScript

Backend architecture

LLM features

Production ownership

Founding engineer

Education

CS degree (top 50 US university)

Job description

Rise Talent Advisors is seeking a founding software engineer for an early-stage, venture-backed AI startup. The role is remote anywhere in the US, with Pacific time hours preferred.

You will build the core platform, primarily backend, and own features from design to production. You will design and ship document extraction and large language model pipelines, make architecture decisions, and contribute to the next major version of the product.