Senior AI Engineer — Production Agent Infrastructure & Memory

Clera

San Francisco (CA)

In loco

USD 150.000 - 250.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

Distinguiti per questa posizione — genera un curriculum e una lettera di presentazione personalizzati in circa un minuto.

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Vantaggi offerti da questo lavoro

Visa sponsorship

Descrizione del lavoro

Clera seeks an experienced engineer to own the agent infrastructure enabling AI systems to execute tasks reliably, retain context, and involve people when needed. You will build and ship production systems, using real-world feedback to improve planning, recovery, and performance.

You will design memory and retrieval systems, develop evaluation harnesses, and collaborate with customers and teammates to iterate on production agents, orchestration, and reliability. Visa sponsorship is available.

Competenze

  • 3+ years building and shipping LLM agents for production use.
  • Strong Python skills and experience building production systems and agent infrastructure.
  • Experience developing evaluation harnesses used to inform deployment decisions.
  • Hands-on background with memory/context retrieval for operational data and orchestration.”
  • Experience implementing failure recovery, retries, or other reliability patterns for agents.
  • Experience building agent tools, frameworks, or libraries; production projects from idea to deployment.

Mansioni

  • Own the infrastructure for reliable agent execution across long-running, multi-step tasks.
  • Design memory and retrieval systems that preserve context over time.
  • Develop evaluation harnesses teams trust for deployment decisions.
  • Measure, test, debug, and improve agent systems through development and production lifecycles.
  • Collaborate with customers and teammates to iterate on production agents and reliability.

Conoscenze

Python
Production systems
Agent infra
Memory retrieval
Evaluation harnesses
Reliability patterns
Agent tools

Descrizione del lavoro

Clera seeks an experienced engineer to own the agent infrastructure enabling AI systems to execute tasks reliably, retain context, and involve people when needed. You will build and ship production systems, using real-world feedback to improve planning, recovery, and performance.

You will design memory and retrieval systems, develop evaluation harnesses, and collaborate with customers and teammates to iterate on production agents, orchestration, and reliability. Visa sponsorship is available.

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