Associate Software Engineer - AI RLE Platform

Handshake; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Ownership: Equity in a fast-growing公司

Financial Wellness: 401(k) match, high

Family Support: Paid parental leave, 


Wellbeing: Medical, dental, vision, 24

Growth: Learning stipend and ongoing发展

Office: SF office, commuting support,

Time Off: Flexible PTO, holidays

Connection: Team outings & referralBon

Job summary

Handshake is hiring an Associate Software Engineer in San Francisco to help build our Reinforcement Learning Environments platform, the systems where frontier AI models learn to complete real-world work. This hands-on role offers rapid growth with senior engineers and exposure to cutting-edge AI infrastructure.

You will contribute to core systems, learn quickly, and gain experience across backend services and frontend interfaces in a fast-paced, in-office environment.

Qualifications

• 0–2 years of experience in software engineering.
• Familiarity with backend development and APIs.
• Working knowledge of ReactJS and TypeScript.
• Understanding of databases (e.g., PostgreSQL) and basic system design.
• Eagerness to learn and operate in fast-paced environments.

Responsibilities

• Contribute to building RLE environments and supporting infrastructure.
• Implement features across backend systems and frontend interfaces.
• Work with senior engineers to improve system reliability and performance.
• Help build modular workflow domains (e.g., engineering, finance, legal).
• Support data pipelines that power model training and evaluation.

Skills

Backend development

APIs

ReactJS

TypeScript

Databases PostgreSQL

System design

Job description

Handshake is hiring an Associate Software Engineer in San Francisco to help build our Reinforcement Learning Environments platform, the systems where frontier AI models learn to complete real-world work. This hands-on role offers rapid growth with senior engineers and exposure to cutting-edge AI infrastructure.

You will contribute to core systems, learn quickly, and gain experience across backend services and frontend interfaces in a fast-paced, in-office environment.