Agentic AI Engineer
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
