
501 - 1000 employees
Founded 2013
đź Consulting
đŁ Marketing
đŚ Logistics
đ° Series C on 2021-09
Consulting ⢠Marketing ⢠Logistics
commercetools is a leading provider of composable commerce platforms designed to enhance digital and omnichannel shopping experiences for B2B, B2C, and D2C enterprises. The company offers a flexible, enterprise-grade solution that allows organizations to effortlessly manage multiple business models, integrate various digital and physical touchpoints, and customize commerce experiences with ease. commercetools is recognized for its ability to streamline implementation processes and drive customer engagement through its innovative solutions, resulting in increased revenue and market adaptability. Their platform is cloud-native, ensuring speed, scalability, and high performance for a wide range of industries, including retail, telecommunications, automotive, and healthcare.
đ June 25
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501 - 1000 employees
Founded 2013
đź Consulting
đŁ Marketing
đŚ Logistics
đ° Series C on 2021-09
Consulting ⢠Marketing ⢠Logistics
commercetools is a leading provider of composable commerce platforms designed to enhance digital and omnichannel shopping experiences for B2B, B2C, and D2C enterprises. The company offers a flexible, enterprise-grade solution that allows organizations to effortlessly manage multiple business models, integrate various digital and physical touchpoints, and customize commerce experiences with ease. commercetools is recognized for its ability to streamline implementation processes and drive customer engagement through its innovative solutions, resulting in increased revenue and market adaptability. Their platform is cloud-native, ensuring speed, scalability, and high performance for a wide range of industries, including retail, telecommunications, automotive, and healthcare.
⢠You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. ⢠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 ⢠Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature
⢠Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy and operate, not handed off at a layer boundary ⢠5+ years shipping production software, 2+ building with LLMs in production (real users, not demos) ⢠Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). You've built against a generative/agent-driven UI protocol, not just consumed a REST API ⢠The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability ⢠Working fluency with retrieval/embeddings and SQL
⢠Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support ⢠Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs ⢠Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition ⢠Our equity participation program allows you to share in our success
Apply Nowđ June 12
1001 - 5000
đŚ Logistics
đŁ Marketing
âď¸ Travel
Senior AI Engineer responsible for knowledge graph design and implementation in a hybrid AI team. Collaborating with the CTO and leading technical projects in Berlin.
đ˘đĄ Berlin â Hybrid
đ° Private Equity Round on 2011-03
â° Full Time
đ Senior
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Cloud
Google Cloud Platform
Neo4j
Python
.NET
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đŁ Marketing
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51 - 200
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âď¸ Legal
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AWS
Microservices
Python
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51 - 200
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đ Compliance
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AWS
Cloud
Java
Microservices
Python
PyTorch
Tensorflow
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501 - 1000
đź Consulting
đŚ Logistics
đŁ Marketing
Senior AI Engineer contributing to 1GLOBALâs internal AI platform and commercial products. Designing and implementing architecture for AI-driven capabilities in a rapidly growing telecom company.
Cloud
Docker
ElasticSearch
Kubernetes
Microservices
Python