Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Research Engineer in Reinforcement Learning (RL) at Anthropic develops agentic AI models for autonomous tasks like coding and software generation, advancing Claude’s capabilities while ensuring safety and scalability. Core work spans RL infrastructure, distributed training, and prototype development for internal AI systems.
Build and optimize the reinforcement-learning training infrastructure that lets researchers iterate quickly on model training runs, using distributed systems and ML frameworks like JAX or PyTorch.
Senior engineer builds and scales Kubernetes control planes for AI compute fleets, extending the scheduler and core services to handle thousands of accelerators across multiple clouds.
Build and maintain AI safety systems that detect misuse, monitor model behavior, and enforce safeguards at scale using Python and multi-layered defenses.
Designs and operates AI-scale compute clusters, automating provisioning, security, and lifecycle management across clouds and datacenters to support model training and production services.
Build and maintain the distributed systems that keep Anthropic’s AI models reliable, designing observability, SLAs, and incident response for large-scale model serving across regions and cloud providers.
The Staff Software Engineer will design and maintain high-performance distributed systems to serve Claude models at scale, focusing on request routing, fleet orchestration, and infrastructure optimization. The role involves working across cloud platforms and AI accelerators to ensure reliable, efficient model inference for millions of users.
Build and scale Anthropic’s CI infrastructure, including Kubernetes-based test execution, merge queues, and intelligent test selection to support thousands of daily builds across multiple clouds.
Senior engineer designs and maintains AI compute infrastructure, including GPU/TPU clusters across clouds, to support Anthropic's AI model training and deployment.
Build and optimize AI inference systems to serve millions of users, focusing on distributed systems, performance tuning, and multi-accelerator deployments across cloud platforms.
Build and deploy full-stack cloud solutions in Azure/AWS using Python, TypeScript, FastAPI, and Next.js, while helping financial institutions adopt AI solutions.
We're looking for a technology leader who knows data platforms deeply, has an opinion about the broader data platform landscape, and can turn that conviction into real engagements, real revenue, and stellar…
Why Mintlify? We're on a mission to empower builders. Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 20,000+ companies, including Anthropic, Microsoft,…
The AI Automation Analyst designs and deploys AI-enabled solutions and automated workflows using Microsoft technologies like Copilot Studio and Power Platform to improve business processes. This role bridges the gap between business needs and technical implementation within a secure Microsoft GCC High environment.
Deploy AI agents into logistics companies' systems, reverse-engineering APIs and ERPs to integrate Pallet’s platform and ship production workflows.
Creator.co is seeking a Mid-Level Backend Engineer to build high-throughput APIs and data-handling services for their influencer marketing platform. The role involves migrating from a monolith to microservices using Node.js, PostgreSQL, and AWS to manage high-velocity social media and e-commerce data.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
