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Build and scale pipelines that generate, grade, verify, and QA reinforcement-learning environments and agentic coding tasks. Create realistic coding worlds around production codebases, automate task creation into the thousands, develop throughput-enhancing infrastructure, and manage the full task lifecycle. Analyze failures, prevent reward hacking and grader loopholes, run workloads on GCP, and use coding agents to accelerate environment development and validation.

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

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 and manage platforms for AI training, develop backend services, and integrate APIs while collaborating with engineers and researchers.

Operate and improve the Bangalore corporate IT environment: manage identity and access, Apple device fleet via MDM, onboarding/offboarding, SSO and automated provisioning, remediate security findings, provide hands-on office support, troubleshoot escalations, automate workflows, and document processes. Collaborate with Head of Security and IT to raise reliability and compliance.

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.