Lead AI Engineer, Agents & Infrastructure

Clera
Berlin, Germany
On-site

Who this role is best for

Best suited to experienced AI engineers with a background in building production systems and a focus on agent orchestration, working in the procurement technology domain.

Best fit for

  • Candidates with a strong background in agent orchestration and context management
    — “Deep hands-on experience with agent orchestration, tool calling, and context management”
  • Engineers comfortable with building robust, scalable inference infrastructure
    — “Integrate models and build inference infrastructure to make AI practical at scale”

Things to consider

  • On-site requirement in Berlin may impact candidates with remote preferences or international relocation constraints
    — “This is an on-site role in Berlin, Germany.”
  • The role requires strong ownership and long-term responsibility for deployed systems
    — “Experience shipping LLM-powered systems to real customers and owning them after launch”

How to stand out

  • Highlight past experience with sandboxed code execution and secure data access in your resume and interviews
    — “Enable agents to perform useful work through sandboxed code execution and permission-aware access to data”
  • Emphasize your ability to evaluate system quality in production, not just in demo environments
    — “Ability to evaluate system quality beyond demos, make sound technical decisions, and help other engineers succeed”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • dependable AI capabilities
  • reliable AI systems
  • efficient agent infrastructure
Typical background
software engineeringAI researchdata science

Skills & requirements

Required

AI EngineeringLLM SystemsAgent OrchestrationInference Infrastructure

Preferred

Procurement TechnologyTypeScriptPython

Stack & domain

TypeScriptPython

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

As Lead AI Engineer, you will own the platform that makes AI agents capable, reliable, and increasingly autonomous. Working closely with technical and product teammates, you will turn advances in AI into dependable capabilities for a procurement technology platform.

WHAT YOU'LL DO

  • Build agent orchestration, context management, memory, and programmatic tool calling.
  • Enable agents to perform useful work through sandboxed code execution and permission-aware access to data.
  • Develop evaluations for multi-turn workflows so agent quality and reliability can be measured.
  • Integrate models and build inference infrastructure to make AI practical at scale.
  • Create shared foundations that help product engineers deliver agent-powered features.

WHAT WE'RE LOOKING FOR

  • Typically 5+ years of software engineering experience, with strong engineering fundamentals and hands-on TypeScript skills; Python experience is useful.
  • Experience shipping LLM-powered systems to real customers and owning them after launch.
  • Deep hands-on experience with agent orchestration, tool calling, and context management.
  • Experience with sandboxed code execution, inference infrastructure, or similarly demanding production systems.
  • Ability to evaluate system quality beyond demos, make sound technical decisions, and help other engineers succeed.
  • Familiarity with evaluation frameworks and failure investigation is useful; procurement experience is a plus.

COMPENSATION & BENEFITS

Competitive salary and meaningful equity are offered. Salary range was not specified. Visa sponsorship is not available.

LOCATION

This is an on-site role in Berlin, Germany.

Source: Clera careers (Ashby)

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