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Eigen Labs

Agentic AI Engineer

NEW
RemoteFull-timeGlobal

šŸ’° USD 187,000 - 253,000/yr

šŸ“Š MidšŸ  Remote
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will work on the core systems that make AI agents usable in production. You will build agent runtimes and orchestration for planning, tool use, memory, and coordination, and integrate LLMs, APIs, and external data into coherent systems. You will improve reliability through state management, retries, and failure handling; develop observability including tracing, debugging, and evaluation; and optimize execution for cost and performance. You will own large parts of the system and move quickly from idea to working product, spending most of your time building.

Requirements

  • ā—Proven experience shipping production systems
  • ā—Experience building or deeply exploring agent systems, LLM pipelines, or autonomous workflows
  • ā—Strong backend and systems experience (distributed systems, APIs, infrastructure)
  • ā—Proficiency in at least one core language such as Python, Go, TypeScript, or Rust
  • ā—Experience with reliability patterns including state management, retries, and observability
  • ā—Ability to take ambiguous problems and turn them into working products
  • ā—Comfort working across the stack when needed
  • ā—Nice to have: experience with agent frameworks (LangChain, AutoGen, CrewAI), workflow engines (Temporal, Airflow, Dagster), retrieval systems, or vector databases

Responsibilities

  • ā—Build agent runtimes and orchestration systems (planning, tool use, memory, coordination)
  • ā—Make agents reliable (retries, failure handling, state management)
  • ā—Make agents observable (tracing, debugging, evaluation)
  • ā—Make agents cost-efficient (cost-aware execution, performance optimization)
  • ā—Make agents production-ready and dependable
  • ā—Integrate LLMs, APIs, and external data into coherent working systems
  • ā—Define how developers build, debug, and extend agent behavior

Benefits & Perks

  • ā—Competitive salary and non-cash compensation including tokens and equity
  • ā—World class medical, dental, and vision benefits
  • ā—Remote work setup stipend
  • ā—Flexible hours
  • ā—Flexible time off
  • ā—401(k) retirement plan with company match
  • ā—Monthly wellness benefit
  • ā—Yearly off-sites
  • ā—Paid parental leave
  • ā—Short- and long-term incentives and program-specific awards

Tech Stack

TypeScriptevaluationorchestrationLLMagentRetrievalreliabilityVector databasePythonobservabilityproject:EigenLayer
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