Data Scientist

Eigen Labs is building the coordination engine for a world run by humans and agents alike. AI is becoming abundant. Trust is not. We are building the infrastructure that makes autonomous systems trustworthy in the real world. Anyone can spin up an AI agent. The hard problem is proving what it did, how it did it, and whether it should be trusted. That’s the problem we solve. EigenLayer introduced cryptoeconomic trust. EigenCloud turns that into a real platform - a verifiable foundation for agents to execute, coordinate, and transact. In 2026, we’re shifting from infrastructure to products that make this value obvious in seconds. 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 Nice To Have Experience with agent frameworks (LangChain, AutoGen, CrewAI, or custom systems) Experience building multi-agent or orchestration systems Familiarity with LLM evaluation, prompting, or performance tuning Experience with workflow engines (Temporal, Airflow, Dagster) Experience building developer platforms, SDKs, or internal tools Exposure to retrieval systems, vector databases, or memory architectures Interest in crypto, distributed systems, or verifiable compute The target salary range for this role is $187,000 - $253,000. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors at the point in time of offer. Other rewards may include short- and long-term incentives, and program-specific awards. In addition, Eigen Labs provides various employee benefits, including: US Benefits Competitive salary and non-cash compensation (tokens and equity) World class benefits package (medical/dental/vision) Remote work set up stipend Flexible hours and a supportive remote environment Flexible time off 401(k) retirement plan + company match Monthly wellness benefit Yearly off-sites Paid parental leave If hired outside of the US through an EOR, benefits will be offered based on specific country requirements and EOR offerings. Equal Opportunity Employment There's one more, very important thing. We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We hope you can join us.