About the role
Eigen Labs is building the coordination engine for a world run by humans and AI agents alike. We’re at an inflection point. AI agents are no longer just tools - they’re becoming economic actors. They can write code, coordinate work, generate revenue, and increasingly operate with autonomy. The problem is, none of this works in production today. There’s no reliable way to verify what an agent actually did, what data it used, or who should get paid. The moment agents touch anything high-stakes - money, coordination, ownership—the system breaks. What’s missing isn’t more intelligence. It’s trust. If agents are going to behave like companies, they need the same primitives: identity execution guarantees attribution ownership and capital This is where crypto becomes necessary- not optional. Blockchains are the only systems where software can own assets, transact, be held accountable, and raise capital. This unlocks a new category: agentic companies - software entities that operate, earn, and coordinate onchain. Our journey has been building toward this moment. EigenLayer introduced restaking - programmable, shared cryptoeconomic security. EigenCloud turns that foundation into a developer platform for verifiable compute, data, and execution. Together, they form the trust layer for the age of AI. EigenCloud is where agents become reliable: where execution is verifiable where contributions are attributable where outcomes can be trusted and rewarded In 2026, we’re shifting from infrastructure to opinionated, user-facing systems that make this real. We’re building quickly, working closely with top builders, and shaping how this category emerges. If you believe agents won’t just assist - but act, earn, and coordinate as independent entities - we’re building the layer that makes that possible.
The Role As a Senior Agentic AI Engineer at Eigen, You’ll work on the core systems that make AI agents actually usable in production. You’ve built real things - distributed systems, APIs, developer tools - and you’ve gone deep on agents, LLM pipelines, or autonomous workflows. You’re not just using AI tools - you have opinions on where this is going. You will own large parts of the system and move quickly from idea → working product. You will spend most of your time building. Not managing. Not talking about roadmaps. Building. This is a full-time role, remote-friendly, with a preference for U.S. time zones and close collaboration with the Seattle-based team. What You Will Do Build agent runtimes and orchestration systems (planning, tool use, memory, coordination) Make agents reliable (retries, failure handling, state management) Make agents observable (tracing, debugging, evaluation) Make agents cheap (cost-aware execution, performance optimization) Make agents useful in production (not demos - real systems people depend on) Integrate LLMs, APIs, and external data into coherent, working systems Define how developers build, debug, and extend agent behavior What You’ll Bring We care more about evidence than years of experience. Show us you’ve built hard things that work. Strong Signals You’ve shipped real systems that people depend on You’ve taken ambiguous problems and turned them into working products You’ve built or deeply explored agent systems, LLM pipelines, or automation beyond simple demos You understand system behavior in production - failure modes, tradeoffs, reliability You move fast and iterate - you don’t wait for perfect specs Technical Foundation Strong backend / systems experience (distributed systems, APIs, infrastructure) Proficiency in at least one core language (Python, Go, TypeScript, Rust, etc.) Experience with reliability patterns (state, retries, observability) Comfort working across the stack when needed