eigen-labs - Agentic AI Engineer
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Requirements
• 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 • 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 • 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:
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. • EQUAL OPPORTUNITY EMPLOYMENT
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