AI Engineer

Commerce Tools
Berlin, Boston, Durham, Munich, London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Creative problem-solving","Curiosity","Ownership","Collaboration","Turning complexity into simple solutions"]

Own AI capabilities end-to-end, from data/context to agent orchestration and the generative UI users trust. Build agent loops and orchestration with robust business-rule enforcement, create an MCP-based integration layer for secure calls to backend systems and APIs, and turn model outputs into streamed, accessible UI. Ground models in retrieval, embeddings, and feedback loops, treat evals as a first-class system, and ship prompt-in-notebook ideas to guard-railed production features.

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Commerce Tools
Commerce Tools
2 weeks ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Closed

Job Summary

Own AI capabilities end-to-end, from data/context to agent orchestration and the generative UI users trust. Build agent loops and orchestration with robust business-rule enforcement, create an MCP-based integration layer for secure calls to backend systems and APIs, and turn model outputs into streamed, accessible UI. Ground models in retrieval, embeddings, and feedback loops, treat evals as a first-class system, and ship prompt-in-notebook ideas to guard-railed production features.
Location: Berlin, Boston, Durham, Munich, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own AI capabilities end-to-end, including data/context feeding models and delivering trustworthy user experiences.
  • •Build agent loops and orchestration with tool use, structured outputs, business-rule enforcement, and graceful failure.
  • •Develop the integration layer via MCP to let agents securely call backend systems and business APIs.
  • •Render model outputs into live, streamed, accessible UI using generative-UI protocols.
  • •Ground models in real data using retrieval, embeddings, and feedback loops; improve quality via first-class evals and production guardrails.

Pay and Benefits

Perks:Health InsuranceLearning BudgetParental LeaveEquity

Key Requirements

  • •Shipped production full-stack software and owned it end-to-end (frontend through backend to deploy and operate).
  • •5+ years shipping production software and 2+ years building with LLMs in production (real users, not demos).
  • •Hands-on experience building against generative/agent-driven UI protocol(s) such as A2UI, AG-UI, MCP-UI (or similar).
  • •Strong AI engineering across prompt/context engineering, agents, tool use, structured outputs, and evals, including MCP Python and TypeScript/Node plus React.
  • •Fluent with retrieval/embeddings and SQL, with comfort working asynchronously with streaming and observability.
Experience:5+ yearsLLMsFull-stackProduction softwareGenerative AIAgentic systems
Skills:Creative problem-solvingCuriosityOwnershipCollaborationTurning complexity into simple solutions
Languages:English
Tech Stack:MCPPythonTypeScriptNodeReactSQLRetrievalEmbeddingsStructured outputsEvalsStreamingObservabilityAsyncA2UIAG-UIMCP-UI

Company Brief

Commerce Tools
Provides a frontend-as-a-service platform for headless commerce, enabling teams to build, deploy, and manage composable storefronts. Integrates with commercetools and other backend services to deliver omnichannel customer experiences.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Berlin, Germany
WebsiteLinkedIn