The vacancy is well-detailed with clear responsibilities and compensation, but lacks comprehensive company information.
Job description
As a Senior Agentic AI Engineer at Eigen, you’ll work on the core systems that make AI agents actually usable in production. You will own large parts of the system and move quickly from idea to working product. This is a full-time role, remote-friendly, with a preference for U.S. time zones and close collaboration with the Seattle-based team.
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)
- Integrate LLMs, APIs, and external data into coherent, working systems
- Define how developers build, debug, and extend agent behavior
Requirements
- Evidence of building hard things that work
- Shipped real systems that people depend on
- Experience with backend/systems (distributed systems, APIs, infrastructure)
- Proficiency in at least one core language (Python, Go, TypeScript, Rust)
- Experience with reliability patterns (state, retries, observability)
- Experience with agent frameworks (LangChain, AutoGen, CrewAI)
- Experience building multi-agent or orchestration systems
Conditions
- Target salary range: $187,000 - $253,000
- Other rewards may include short- and long-term incentives, and program-specific awards
About Eigen Labs
Eigen Labs develops EigenCloud (formerly EigenLayer), a developer platform that turns blockchain into a verifiable cloud for apps, data, and AI, including solutions like EigenAI and EigenCompute for secure AI infrastructure. They contribute to protocols such as EigenLayer and EigenDA, aiming to build coordination engines for open innovation.