About the role: As an Applied AI Engineer, you'll work at the intersection of machine learning research, product engineering, and customer success. You’ll be responsible for refining human datasets and transforming them into model-ready signals. You’ll also translate real-world insights into product and infrastructure features that meaningfully improve the platform. In addition, you’ll run tight feedback loops across the Ops and Engineering teams to ensure clients get the maximum value by building tooling and prototypes. What Are We Looking For? Previous founding or startup experience Fluency in React, Next.js, and Python Experience designing schemas for SQL and NoSQL databases, Airflow or similar orchestration ETL tools Experience deploying LLMs or other models in production, including evaluation pipelines Experience with Systems Integration across recruitment systems, payments systems, CRMs and data warehouses Interest in evals, benchmarks and annotation tooling Attention to detail and eagerness to learn Compensation Base cash comp from $40K-$100K Performance bonuses up to 40% of base comp We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Build the AI that builds teams We train large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at the top AI labs, and we scaled from $1 M to $100 M ARR in 11 months—making us the fastest-growing AI startup on record. What you’ll do In your first year you’ll ship production code every week across Python- and Go-based services and a React/Next.js frontend that screens millions of candidates. You’ll design new microservices—real-time ranking, interview analytics, and payouts that move millions of dollars—while pairing with senior engineers to profile, test, and harden our LLM-powered agents. You’ll speak directly with users, turn pain points into specs, and own features end-to-end. You’ll thrive here if You have solid CS fundamentals and projects you’re proud to demo; you iterate fast—prototype, test, ship in days—and care as much about product polish as system performance. Curiosity about LLMs, retrieval, and ranking is a bonus; you’ll learn alongside engineers who have shipped at Jane Street, Citadel, Databricks, and Stripe. Our stack Go · Python · React · AWS