Commerce Tools

1 month ago

AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Lead end-to-end AI capabilities for commercetools, shipping production-grade, full-stack AI-driven features from data and context to agent orchestration and generative UI, collaborating across backend, frontend, data, and ML to create robust autonomous commerce solutions.

Location: Munich, London, Berlin, Boston, Durham

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
•Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
•Render model output into live, streamed, accessible UI via generative-UI protocols
•Ground models in real data: retrieval, embeddings, and feedback loops that actually close
•Treat evals as a first-class system - provable improvement, not vibes

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceLearning BudgetParential LeaveEquity

Key Requirements

•5+ years shipping production software, with 2+ years building with large language models (LLMs) in production
•Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar) and building against a generative/agent-driven UI protocol
•Strong skills in prompt/context engineering, agents, tool use, structured outputs, evals, and production-grade pipelines
•Experience grounding models in real data (retrieval, embeddings, feedback loops) and operating end-to-end systems
•Proficiency in MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability

Experience:5+ yearsLLMAIMLAgent orchestration

Skills:PythonTypeScriptNode.jsReactSQLMCPMCP UI protocolsA2UIAG-UIMCP-UIEmbeddingsRetrievalAsyncStreamingObservability

Languages:English

Tech Stack:PythonTypeScriptNode.jsReactSQLMCPA2UIAG-UIMCP-UIEmbeddingsRetrievalLLMs

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

Website LinkedIn

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Commerce Tools

1 month ago

AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Munich, London, Berlin, Boston, Durham

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
•Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
•Render model output into live, streamed, accessible UI via generative-UI protocols
•Ground models in real data: retrieval, embeddings, and feedback loops that actually close
•Treat evals as a first-class system - provable improvement, not vibes

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceLearning BudgetParential LeaveEquity

Key Requirements

•5+ years shipping production software, with 2+ years building with large language models (LLMs) in production
•Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar) and building against a generative/agent-driven UI protocol
•Strong skills in prompt/context engineering, agents, tool use, structured outputs, evals, and production-grade pipelines
•Experience grounding models in real data (retrieval, embeddings, feedback loops) and operating end-to-end systems
•Proficiency in MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability

Experience:5+ yearsLLMAIMLAgent orchestration

Skills:PythonTypeScriptNode.jsReactSQLMCPMCP UI protocolsA2UIAG-UIMCP-UIEmbeddingsRetrievalAsyncStreamingObservability

Languages:English

Tech Stack:PythonTypeScriptNode.jsReactSQLMCPA2UIAG-UIMCP-UIEmbeddingsRetrievalLLMs

Company Brief

Commerce Tools

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Berlin, Germany

Website LinkedIn