Jobs at Bespoke Labs

The Technical Recruiter will manage full-cycle recruiting for engineering and research roles, source candidates, facilitate interviews, and refine recruitment processes.

The Engagement Manager oversees customer relations for AI projects, ensuring quality delivery, tracking multiple concurrent engagements, and acting as the customer's voice internally.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

Bespoke Labs seeks unconventional talent skilled in building custom models and agents from open-source projects. This role focuses on methodical post-training to enhance enterprise performance.

As the first Product Engineer, you'll develop the platform for RL environment curation, enhancing user experiences through intuitive design and robust backend infrastructure.

The Research Engineer will develop and deploy reinforcement learning environments, collaborate with research labs, and ensure high-quality systems at scale.

Design and maintain the infrastructure for RL environments, focusing on execution, performance optimization, and production excellence while collaborating with research teams and clients.

The Design and Brand Storyteller will define visual identity and craft narratives for Bespoke Labs, translating complex AI ideas into engaging stories and visuals.

As a Full Stack Engineer at Bespoke Labs, you will build and manage full-stack platforms and backend services, integrating LLM APIs, while collaborating with AI researchers.

As a Full Stack Developer, you will build full-stack platforms, develop backend services, and design data layers while collaborating closely with engineers and AI researchers.

Develop systematic strategies for creating RL environments, analyze agent behavior and failures, validate and package benchmark environments for external use.

As a Full Stack Developer, you will build and manage platforms for AI training, develop backend services, and integrate APIs while collaborating with engineers and researchers.