Job 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 hardest, most advanced problems to solve (not commodity) Work at a larger scale than most AI companies: Currently 8 figure revenue with hockey-stick growth trajectory Candidates will have outsized impact, shaping core systems from day 1 Talent dense team with founders from top quantitative finance (Citadel Securities) and IB/PE (Goldman Sachs, Morgan Stanley, Silver Lake) YC Winter 2025: $3M raised, $40M cap, expecting $20-30M Series A shortly Fast-paced culture with open-communication and quick iteration and a tight-knit team that likes each other

Requirements

Requirements not extracted — see the original description below.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesnext.jstypescriptjavascriptreactnode.jspythonawsgcp

Platform: zoho-recruit
Effort: medium