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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

Raydar

Artificial Intelligence Engineer

Skills

PythonPyTorchMachine LearningAI

8 days ago

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Important information


Contract type:

Permanent

Salary:

$175,000 – $275,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


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.

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