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 Engineerat 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.

EigenLabs remote jobs

Agentic AI Engineer

Future Builders – General Interest