AI Engineer, RL & Evals

Raydar; San Francisco (CA); On-site; USD 175,000 - 275,000; Full time

Benefits offered by this job

Competitive equity

Job summary

Raydar in San Francisco is seeking an AI Engineer, RL & Evals to design and deploy reinforcement learning environments, evaluation frameworks, and production-grade infrastructure for creative domains. You will blend backend engineering with applied ML and own the systems from design through delivery.

The role requires 2–7 years in AI/RL, strong backend or full-stack capabilities, Python, PyTorch, RL and ML evaluation frameworks, distributed data pipelines, a CS degree, fluent English, and the

Qualifications

• 2–7 years of AI or reinforcement learning engineering experience.
• Strong full-stack or backend engineering skills with production shipping experience.
• Proficiency in Python, PyTorch, RL, ML evaluation frameworks and LLMs.

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.

Skills

Full-stack eng

Python

PyTorch

RL engineering

LLMs

Distributed systems

Education

CS degree

Job description

About the company

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.

The role

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.

What you’ll do

• 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.

What we’re looking for

• 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.

Bonus points

• 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.

Compensation and benefits

• $175,000-$275,000 annual base salary.
• Competitive equity.

Location and work model

Full-time, on-site five days per week in Levi’s Plaza, San Francisco, California. Visa transfers, including OPT and H1B transfers, are supported.