Software Engineer (SWE)
- Compensation
- Not disclosed
- Location
- San Francisco, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Seniority 1 - 4 years of experience as a fullstack SWE
- Work experience Experience at S-tier VC-backed startup, reputable trading firm, or founding engineer at company that has raised $2.5M+. If big tech only, must have CS degree from top-10 CS program (e.
- Education Degree from top-30 school (US/CA/EUR only).
- Hard skills Fullstack capability: Next.js/React, Node.js/Python, Kubernetes Kafka, Redis, Elasticsearch
- Soft skills Experience building something end-to-end with a bias towards ownership Ability to be "client facing" with AI lab researchers
- Miscellaneous Willing to work 5 days a week (M-F) in our FiDi (SF) office. Flexible working hours (e.g., can come in whenever preferred).
Full description
AI Talent Now job # ZR_98_JOB
As part of this dynamic engineering team, you’ll have end-to-end ownership over projects that push the frontier of AI evaluation. This is not a narrow role.
One week you might prototype a new RL environment from a research paper, the next you’ll be deploying distributed experiments on Kubernetes, and the week after you’ll be improving the reliability of our Next.js dashboards or building a Kafka pipeline for annotator analytics.
What You’ll Do
- Design and build scalable systems: RL environments, APIs, and human-in-the-loop platforms.
- Collaborate across research, product, and design to ship features quickly.
- Write clean, maintainable code and contribute to documentation.
- Participate in code reviews and design discussions
- Solve real-world scalability and reliability challenges.
- Contribute to the core infrastructure powering data and evaluation for leading AI labs.
Tech stack
TypeScript/JavaScript, Next.jS, React, Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, Cloud Platforms: AWS, GCP
Requirements
Seniority
1 - 4 years of experience as a fullstack SWE
Work experience
Experience at S-tier VC-backed startup, reputable trading firm, or founding engineer at company that has raised $2.5M+. If big tech only, must have CS degree from top-10 CS program (e.g., Berkeley, CMU).
If candidate comes from a startup, startup MUST be HIGH GROWTH
Experience at human data AI company (e.g., Surge AI, Snorkel AI, Micro1, Mercor).
Education
Degree from top-30 school (US/CA/EUR only).
Hard skills
Fullstack capability: Next.js/React, Node.js/Python, Kubernetes
Kafka, Redis, Elasticsearch
Soft skills
Experience building something end-to-end with a bias towards ownership
Ability to be "client facing" with AI lab researchers
Miscellaneous
Willing to work 5 days a week (M-F) in our FiDi (SF) office. Flexible working hours (e.g., can come in whenever preferred).
Benefits
- This company is collaborating with all 5 leading AI labs
- Candidates will recommend data and infrastructure that shapes next-generation agentic workflows, focusing on the (not commodity)