Remote
Full time
Remote
Product
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.
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.
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
We care more about evidence than years of experience.
Show us you’ve built hard things that work.
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
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
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:
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.
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.
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