Eigen Labs is building open coordination technologies across agentic research, inference infrastructure, and capital formation. The Senior Agentic AI Engineer will work on the core systems that make AI agents reliable and useful in production.
This is a hands-on engineering role with substantial system ownership. The engineer will move quickly from ideas to working products and spend most of their time building. The role is full-time and 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 covering planning, tool use, memory, and coordination.
- Improve agent reliability through retries, failure handling, and state management.
- Make agent behavior observable through tracing, debugging, and evaluation systems.
- Optimize cost-aware execution and system performance.
- Build production systems that people can depend on rather than demonstration-only prototypes.
- Integrate large language models, APIs, and external data into coherent working systems.
- Define how developers build, debug, and extend agent behavior.
What You’ll Bring
- Evidence of shipping real systems that people depend on.
- Experience turning ambiguous problems into working products.
- Experience building or deeply exploring agent systems, LLM pipelines, or automation beyond simple demonstrations.
- Understanding of production failure modes, tradeoffs, reliability, and system behavior.
- Strong backend or systems experience, including distributed systems, APIs, or infrastructure.
- Proficiency in at least one core language such as Python, Go, TypeScript, or Rust.
- Experience with reliability patterns including state, retries, and observability.
- Comfort working across the stack when needed.
Nice to Have
- Experience with agent frameworks such as 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 such as Temporal, Airflow, or 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.
Compensation and Benefits
The target salary range is $187,000 to $253,000. The final offer depends on factors including skills, relevant experience, interview performance, and market conditions. Other rewards may include short-term and long-term incentives and program-specific awards.
- Tokens and equity in addition to salary.
- Medical, dental, and vision coverage for U.S. employees.
- Remote-work setup stipend and flexible hours.
- Flexible time off.
- 401(k) retirement plan with company match.
- Monthly wellness benefit, yearly off-sites, and paid parental leave.
- For hires outside the United States through an employer of record, benefits are based on country requirements and the employer-of-record offering.
How to Apply
Apply through the official application page.
