
CopilotKit
Remote Jobs
Open-Source Infrastructure for in-app AI Copilots.
6 Jobs
• You'll ship fullstack AI applications that showcase CopilotKit's capabilities — creating demos, templates, and starters that developers clone and build on. • Your projects are CopilotKit's storefront: polished UI, production-quality code, and READMEs that make it easy to get started. • This role combines rapid prototyping with ecosystem awareness. • You'll build demos that land at the right moment, react to new integrations and AI capabilities while they're trending, and set the standard for what "built with CopilotKit" looks like. • Because CopilotKit sits at the frontend of the agentic stack, your demos bring our partners' libraries to life — amplified by everyone from Google to AWS to LangChain. • You need to think at the level of systems and outcomes — not just implementation. You're fluent in AI-assisted development as your primary mode of working, using AI coding tools to ship demos from idea to deployment in days. You've shipped meaningful work this way and understand that compelling demos require both technical excellence and good taste.
Senior Software Engineer, Partnerships & Integrations – Open-Source
CopilotKitOpen-Source Infrastructure for in-app AI Copilots.
• Build and maintain integrations with agent frameworks and model providers, including AG-UI protocol adapters • Design clean, idiomatic APIs that feel native to each framework while maintaining ecosystem consistency • Own full integration lifecycle: research, prototyping, implementation, documentation, and maintenance • Work directly with partner teams to coordinate releases, resolve compatibility issues, and influence roadmaps • Create comprehensive examples and guides for rapid adoption • Monitor ecosystem trends and identify high-value integration opportunities
• Act as primary technical contact during sales and POC calls with Global 1000 companies • Run live product demos and code demo applications for specific customer use cases • Hold weekly technical working sessions with customer teams: architecture advice, debugging, and inbound questions • Provide white-glove support through design reviews, priority bug fixing, and production readiness guidance • Partner with sales and GTM teams to design POCs that convert prospects • Create walkthroughs and technical pitches for both technical and business stakeholders • Capture customer feedback and advocate effectively with engineering on their behalf
Senior Product Manager, Developer Experience
CopilotKitOpen-Source Infrastructure for in-app AI Copilots.
• Own the end-to-end developer experience for CopilotKit — from a developer's first impression to production deployment. • Operate as both PM and active individual contributor: defining success metrics and priorities, directly creating documentation and examples. • Translate insights from usage patterns and enterprise learnings into concrete improvements across the platform.
• Represent growth in strategic partner meetings: Join Tier 1 meetings (AWS, Google, Microsoft, Oracle) to identify collaboration opportunities and turn technical wins into ecosystem moments • Own co-marketing partnerships end-to-end: Build relationships with ecosystem partners (PydanticAI, Mastra, CrewAI, etc.), propose collaborations, and execute from first email to published content • Be CopilotKit's presence in SF: Run our events (venue sourcing, logistics, Luma, merch), attend ecosystem events, and support engineers at conferences • Act as ecosystem antenna: Surface opportunities, relationships, and intelligence from the SF AI community back to the team
Senior Software Engineer, Core Frameworks – Protocols
CopilotKitOpen-Source Infrastructure for in-app AI Copilots.
• Build the core infrastructure powering the next generation of AI-native applications. • Design TypeScript & Python SDKs, real-time systems, and developer-facing abstractions used by tens of thousands of engineers. • Collaborate with leading AI infrastructure teams and hyperscalers to make integrating AI copilots seamless. • Own systems end-to-end and help shape how production-grade AI agents interact with users. • Direct AI to generate, refactor, and explore while evaluating outputs and course-correcting in real time.