Tool calling Jobs

Figma is seeking an AI Engineer for its Internal AI team, which focuses on making AI adoption easier and more impactful for all Figmates across various departments like Sales, Support, Finance, People, and Legal. This role is a key part of the Applied AI Builds pillar, responsible for identifying high-value AI opportunities, prototyping solutions, and taking them to production. You will work directly with teams to understand business workflows, build AI agents and automations, integrate them with enterprise systems, and ensure their safe and reliable operation. This position involves owning solutions through production, determining the appropriate use of AI versus traditional software, and shaping how agents can safely interact with enterprise systems. You will also collaborate with platform teams to build reusable AI capabilities and help define Figma's approach to Applied AI engineering.

$153k - $296k

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

Vercel is seeking a DevRel Engineer to join their product teams focused on agentic infrastructure, including AI Gateway and Sandbox. In this role, you will work closely with product and engineering to build with these tools before their public release, showcasing their capabilities through various content formats. You will be instrumental in shaping the products by providing early feedback and ensuring a smooth developer experience. This position reports to the Head of AI Infrastructure and can be located anywhere.

$168k - $252k

The Agentic Runtime team builds the low-latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

$180k - $210k

Our Internal Acceleration team is seeking a Research Engineer to build agents that accelerate the production of frontier tokens. You will collaborate directly with founders and embed with the production team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role involves working on harnesses, tool use, context, memory, execution environments, and evaluation frameworks to enable agents to perform long-running, useful engineering tasks. We are looking for individuals who thrive in ambiguous environments, possess strong product sense, and are eager to own problems end-to-end, viewing this as an opportunity to shape future ventures. The work is time-sensitive and business-critical, demanding dedication beyond a standard 9-5 schedule.

$150k - $400k

Our Internal Acceleration team is building agents to speed up the production of frontier tokens. You will collaborate directly with founders and embed with our special projects team to develop new agentic harnesses and operating systems, fundamentally changing how hardware is built in an AI-native world. Your success will be measured by the acceleration of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguous environments, possess strong product intuition, and are eager to own problems from inception to completion. It's a dynamic, time-sensitive, and business-critical position that requires dedication beyond a standard 9-5.

$150k - $400k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our kernels team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role focuses on harnesses, tool use, context, memory, execution environments, and evaluations that enable agents to perform long-running, useful engineering work. We seek engineers who thrive in ambiguity, possess strong product sense, and are eager to own problems end-to-end, understanding that this is a time-sensitive and business-critical role that may not adhere to a 9-5 schedule.

$150k - $400k

PermitFlow is redefining the construction industry with applied AI, tackling complex challenges in permitting, licensing, inspections, and project closeouts. Our AI agent workforce accelerates development for the nation's builders, having already delivered significant improvements in speed, accuracy, and visibility for over $20 billion in development. As the U.S. enters a new capex supercycle, joining PermitFlow means building the core AI infrastructure that will drive future reindustrialization. We are seeking a Staff/Principal Engineer to develop our core AI Assistant, its supporting infrastructure, and workflow agents, requiring both UX and technical expertise in a complex domain.

$250k - $300k

Campfire is seeking an AI Engineer to build production AI agents that assist customers with accounting tasks. This hands-on role involves shaping agent architecture, shipping customer-facing features, and establishing reliable engineering practices. You will collaborate closely with engineering, product, and design teams to transform complex problems into trustworthy software solutions. The ideal candidate will combine strong software engineering fundamentals with practical experience in developing and operating agentic applications, from automating financial workflows to enabling customers to understand and act on their financial data.

$180k - $300k

NVIDIA's GPU SW Kernel organization is seeking a Senior System Software Engineer to develop the next generation of AI systems for GPU software development. This role focuses on crafting agentic AI systems to enhance the quality and efficiency of GPU software, transforming promising projects into critical infrastructure. You will be part of a dynamic team that significantly impacts GPU release quality and sets new standards for AI-driven automation.

$184k - $357k

Harvey is transforming legal and professional services by integrating frontier agentic AI with an enterprise-grade platform. This role offers a unique opportunity to contribute to a rapidly scaling company that is defining a new category in real-time. The team values decisiveness, simplicity, and a commitment to continuous improvement, seeking individuals who are driven to do their best work alongside like-minded colleagues. The future of professional services is being shaped at Harvey, and the company is just beginning its journey.

$231k - $340k

Mercor is seeking a Member of Technical Staff to build the backend systems and agent infrastructure for their talent network. A significant portion of Mercor's operations rely on agents for sourcing, screening, matching, and supporting experts with minimal human intervention. This role involves designing and deploying the services that power these agents, including orchestration, tool interfaces, evaluation, and data models for auditable and reversible decisions. This is a hands-on engineering position requiring coding, end-to-end system ownership, and collaboration with product, operations, and AI researchers to define agent functionalities and human involvement. The company is a profitable Series C organization valued at $10 billion, focused on organizing human intelligence to power the AI economy. They are a leading AI data company building the interface between human expertise and advanced AI models, with millions of domain experts earning significant daily income to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise extends this infrastructure to Fortune 500 companies.

$160k - $500k