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Salary
$260k – $290k per year
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Operating as a modern AI-powered recruitment agency and talent marketplace, Raydar connects high-growth technology companies and venture-backed startups with specialized technical and commercial professionals. The platform integrates automated conversational AI screening to conduct initial structured candidate interviews before human recruiters take over to handle contextual matching, personalized interview preparation, and offer negotiations. Specializing in placements across software engineering, AI/data infrastructure, product development, and go-to-market functions, the firm helps innovative enterprises scale their distributed teams.

About the Company

Our client is a Series A frontier data provider for the world's leading AI labs, founded in 2024. It builds the infrastructure behind frontier data creation for agentic and hard reasoning workflows, has raised $34M, has grown to roughly 85 people and is growing at a hockey-stick pace. The founding team comes from top investment banks and quant firms, and the company is extremely talent-dense.

About the Role

Take end-to-end ownership of projects that push the frontier of AI evaluation. One week you might prototype a reinforcement learning environment from a research paper, the next deploy distributed experiments on Kubernetes, then improve a Next.js dashboard or build a Kafka pipeline for annotator analytics.

What You Will Do

Design and build scalable systems: RL environments, APIs and human-in-the-loop platforms.

Collaborate with research, product and design to ship features quickly.

Write clean, maintainable code and contribute to documentation, code reviews and design discussions.

Solve real scalability and reliability challenges in the core infrastructure that powers data and evaluation for leading AI labs.

Work directly with AI lab researchers.

Requirements

What We Are Looking For

Two to five years as a full-stack engineer, with Next.js and React, Node.js or Python, and Kubernetes.

Experience building something end to end with a bias toward ownership.

Time at a high-growth, top-tier venture-backed startup, a reputable trading firm, or as a founding engineer.

A degree from a top-30 school in the US, Canada or Europe.

Comfort being client-facing with AI lab researchers.

Bonus Points

Kafka, Redis and Elasticsearch.

Experience at a human data or data labeling AI company.

Benefits

Compensation and Benefits

$260,000-$290,000 base salary, plus uncapped commission of 2% of gross profit on projects you personally deliver and a 3% delivery-team pool paid quarterly, plus competitive equity. Target total cash compensation is $460,000-$690,000. Visa transfers are considered. Take-homes are paid.

Location and Work Model

Full-time and on-site five days a week in the Financial District of San Francisco, with flexible hours.

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