system design Jobs

As an AI engineer on the CRAFT team, you will bring research into production and build products across our roadmap, including tools for agent evaluation and continuous improvement. You’ll own features from the user experience through backend services and model integrations. You’ll turn research in post-training and model evaluation into products that help customers understand and improve their models. We’re looking for strong product instincts to translate research methods into intuitive workflows and delightful user experiences. You’ll work closely with researchers and customers to define problems, make practical tradeoffs, and deliver products in an evolving space. CRAFT is a small team with significant autonomy over our roadmap and priorities.

$182k - $242k

Figma is seeking infrastructure and platform-minded engineers to join our AI Platform team. This team builds the core frameworks, abstractions, and systems that power AI features across Figma, enabling new capabilities for AI product teams and improving performance, reliability, and technical quality. You will contribute to agent infrastructure, context retrieval & ranking platforms, and core AI services to accelerate critical company-wide AI initiatives. This role involves supporting end-to-end AI feature development by designing, building, and maintaining scalable, reliable, and performant systems, collaborating with cross-functional teams, and shaping platform strategy and best practices.

$153k - $376k

Scale AI

Scale AI is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering Reinforcement Learning (RL) environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and verifier frameworks, while also diving deep into instrumenting real applications, designing task suites, and building robust graders. This is a hands-on engineering position requiring technical leadership across multiple teams and the ability to write complex code.

$252k - $315k

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k