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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - - **Company:** Noxtua AG - **Location:** Germany (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Computer Programming, Information Engineering, DevOps, Memory Management, Python (Programming Language), Software Engineering, ReactJS, Large Language Models, Technical Debt, Generative AI, Backend, Git, Containerization, Machine Learning Operations, Virtual Agents, Software Version Control, Docker - **Published:** May 15, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=7f7ad1c5bc85a106 ## About the Role Do you have experience in Software development?, Do you have a Master's degree?, * Experience: at least 2 years of professional experience in Software Development, building, and shipping generative AI solutions * Programming: Strong Python skills with experience in designing robust AI pipelines * Technical Expertise: Experience in building Agentic AI systems, including reasoning and LLM orchestration for dynamic query handling, PromptEngineering, and reasoning chain design (CoT, ReAct, structured prompting for multi-step reasoning). Familiarity with designing and implementing agent memory systems, including long-context and short-term memory management * Infrastructure: Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) * Expertise in developing, deploying, and benchmarking NLP and generative AI models, building RAG systems, including adaptive retrieval strategies such as query rewriting, iterative retrieval, and self-reflective search refinement, is a bonus * Language: English proficiency at the C2 level. ## Description As an AI Engineer (f/d/m), you will play a pivotal role in shaping and delivering AI-powered features for our Review & Drafting Squad. Our B2B solutions are aimed at professionals working in law research and legal advising, and this squad focuses on capabilities for drafting, editing, and reviewing documents, and structured workflows with a strong emphasis on usability, reliability, and measurable impact. You will work closely with product, design, engineering, and domain experts to turn problem statements into production-ready AI features, including technical feasibility assessment, architecture decisions, implementation estimates, establishing robust evaluation, and designing reliable, scalable AI systems. You will join our Tech Team of around 32 people, including UI Engineers, UI Designers, AI Engineers, Data Engineers, as well as Fullstack, Backend, and DevOps Engineers. Within that team, you will help drive applied AI capabilities that improve how users review information, draft content, and work through complex legal tasks. The role reports directly to Felix, our VP of AI & Data Engineering, and he will guide you through your journey at Noxtua. With deep expertise in AI systems, Felix leads with a passion for innovation and a collaborative approach, ensuring every team member thrives., * Develop and maintain AI features from researching to building a POC and productionizing them * Assess the technical feasibility of customer Feature requests using AI solutions * Collaborate with product managers, designers, and fellow engineers to translate requirements into well-architected, reliable software * Partner with the AI Core Team on adoption, ensuring an approach fits into the agentic system design * Participate in code reviews * Create measurements and evaluations for the accuracy of the model's predictions * Identify and resolve performance bottlenecks, bugs, and technical debt across the stack ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Got AI ideas but no money? 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