AI Engineer, RL & Evals

Raydar•San Francisco, CA

7h•$175,000 - $275,000•Onsite

About The Position

Our client is a seed-stage AI company building the data and infrastructure layer that improves model quality in subjective, creative domains, starting with design. It has raised $18.5M and has revenue-generating partnerships with frontier AI labs and application-layer companies. Its products support post-training, reinforcement learning, context and verification. As AI Engineer, RL & Evals, you will build reinforcement learning environments, evaluation frameworks and production infrastructure for creative domains. You will combine backend or full-stack product engineering with applied ML and own systems from design through delivery.

Requirements

2-7 years of relevant AI or reinforcement learning engineering experience, with depth building RL environments, evaluation systems or ML post-training systems.
Strong full-stack or backend engineering skills and demonstrated production shipping experience.
Experience with Python, PyTorch, RL, ML evaluation frameworks and LLMs.
Knowledge of distributed systems and data pipelines; relevant scraping, indexing, embedding or agent-harness work is valuable.
A computer science degree and fluent English communication.
Ability to work in the San Francisco office five days per week.

Nice To Haves

Experience at creative technology, generative AI, crawling, indexing or data companies.
Building agentic frameworks or evaluations for non-verifiable domains.
Experience connecting research work to practical products and infrastructure.

Responsibilities

Build and scale RL environments and evaluation frameworks for creative, non-verifiable domains.
Design tasks and grading rubrics that capture design quality and taste.
Build agent harnesses, context layers and supporting product infrastructure.
Collaborate with internal research teams and frontier labs to improve model output quality.
Ship production code end to end and build reliable backend systems and data pipelines.