Artificial Intelligence Specialist

AI Agent Builder _San Francisco-CA_Full-Time (FTE)_Direct HirePosition: AI Agent BuilderJob Type: Full-Time (FTE)Location: San Francisco-CABase Salary: $100,000 to $200,000 +Best-in-class benefitsRole Impact:* This is a hybrid position spanning the quick and iterative development of AI agents and frameworks and advancing the underlying infrastructure. You'll focus on:* Building the next-generation AI agents to handle workload management and automation.* Building out the underlying agent infrastructure that power different kinds of agents.* DevRel + Content: Create technical content to drive adoption, engage communities for collaboration and feedback, and coordinate across teams to align technical and product goals.Core Technical Responsibilities:Rapid AI Agent Development:* Prototype & Iterate: Build and refine AI agents for workload management, automation, and real-time decision-making.* Framework Integration: Contribute to and extend agent frameworks to handle evolving feature requests and performance needs.* Experimental Features: Quickly explore new agent capabilities (e.g., multi-agent collaboration, memory architectures) to guide design choices.Technical Requirements:Agent & Platform Skills:* Python (FastAPI, Async): Proficiency in building agent logic, REST APIs, and backend services.* Pytorch* TypeScript/React/Next.js: Comfortable creating dashboards or other visualizations for agent monitoring.* Real-time & WebSocket Systems: Experience building streaming or live-updating UIs to visualize agent activity.* API Design: Ability to craft intuitive and efficient interfaces for agent communication.Infrastructure Skills:* Rust: Systems programming for high-performance agent components.* Kubernetes, Docker: Container orchestration and production-ready deployments.* Infrastructure automation and config management.* Cloud Experience: Familiarity with scalable and cost-effective infrastructure.Infrastructure Skills* Rust: Systems programming for high-performance agent components.* Kubernetes, Docker: Container orchestration and production-ready deployments.* Infrastructure automation and config management.* Cloud Experience: Familiarity with scalable and cost-effective infrastructure.Nice to Have:* GPU/ML Infrastructure: Understanding how to optimize agent training or inference on GPUs.* Advanced AI/ML Knowledge: Familiarity with popular model architectures and training workflows.* High-Performance Networking: Experience building low-latency data pipelines.* Open-Source Contributions: Proven track record in community-driven projects.Candidate Details:*Seniority Level - Mid-Senior*Minimum Education - Bachelor's Degree

Created: 2025-05-31