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Clera

Applied AI Engineer

Clera

Location
Onsite (San Francisco, California)
Compensation
$150k - $250k/yr
Employment
Full-time
Level
Mid Level
Posted 2 days ago

About the Role

Clera is a well-funded AI infrastructure startup seeking a founding engineer to build and maintain the core systems enabling reliable, long-term execution of unattended LLM agents. This role involves owning the full lifecycle of agent infrastructure, from memory management and orchestration to evaluation and production deployment, directly impacting how agents interact with real-world data and customers.

Skills

Python LLM Agents Agent Orchestration Agent Memory Management Context Retrieval Evaluation Harnesses Production Systems Workflow Management Failure Recovery Retry Logic Reliability Engineering Human-in-the-Loop Workflows Customer Collaboration

Perks

  • Equity
  • Relocation Support
  • Visa Sponsorship

Full job details

About the Role

You will own the agentic infrastructure at a well-funded AI infrastructure startup, building the systems that let AI agents execute reliably, retain context over months, and know when to involve a human. This is a founding engineer role where your decisions directly shape how agents plan, remember, fail, and recover in production.

What You'll Do

  • Build and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.

  • Design and implement memory systems that retain months of client context extracted from messy, real-world operational data.

  • Develop eval harnesses that teams actually trust to make production deployment decisions.

  • Own the full loop: build, measure, break, fix, and improve agent systems based on production feedback.

  • Ship agent systems directly to real customers and iterate on them based on live feedback.

  • Contribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.

What We're Looking For

  • 3 or more years shipping LLM agents that ran unattended in production for real users, with a clear understanding that the model is the easy part.

  • Proven experience building eval harnesses that were actually used to make production shipping decisions.

  • Strong Python proficiency applied to production systems, not prototypes.

  • Experience with agent memory management, context retrieval, and orchestration on real operational data (not demo RAG pipelines).

  • Hands-on experience with agent orchestration frameworks, workflow management, or infrastructure tooling.

  • Experience implementing failure recovery, retry logic, or reliability patterns in production agent systems.

  • Bonus: open-source agent tooling contributions, experience with human-in-the-loop or approval workflows, or a founded/led technical project.

  • Exceptional intensity and execution, comfortable owning work well beyond a narrow specialty at an early-stage company.

Compensation & Benefits

  • Base salary: $150,000 to $250,000 USD annually.

  • Equity: meaningful early equity stake.

  • Relocation support and visa sponsorship available.

Location

On-site in San Francisco, CA, United States. Relocation support is provided.