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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** LOGEX - **Location:** Hamburg, Germany - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Information Engineering, Python (Programming Language), Machine Learning, Performance Tuning, Software Safety, Systems Integration, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, AI Platforms, Code Testing, Machine Learning Operations, Data Pipelines - **Published:** July 9, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=bf040feaa1a0254d ## About the Role * Solid experience building AI capabilities and shipping them into products or production * Experience integrating modern AI (LLMs, RAG) into real applications * A strong software / data engineering background, with hands-on AI delivery * Experience with building and deploying ML models is relevant and valued, though not the primary focus * Experience working in regulated environments (healthcare, financial services or similar) is an advantage Technical depth * Strong coding ability (for example Python) and solid software engineering fundamentals * Hands-on experience with LLM-based and applied-AI development - frameworks, cloud AI services and orchestration * Practical experience with RAG, prompting and evaluation, and with integrating AI into real products * Working knowledge of MLOps / LLMOps - deployment, monitoring, evaluation and versioning * Good data engineering skills - preparing and working with data for AI * Working knowledge of machine learning - training, tuning and serving models - where it fits the problem * Awareness of AI safety, privacy and responsible-AI practice Delivery and execution * Strongly outcome-driven - measured by reliable AI capabilities shipped into production, not prototypes * Hands-on and pragmatic, with strong attention to quality, evaluation and reliability * Comfortable working where AI approaches and ways of working are still forming Personal style * Collaborative and a strong communicator, equally effective with engineers and data practitioners * Pragmatic about AI - focused on real value and reliability over hype * High standards, but pragmatic; comfortable operating with pace and ambiguity * Willing to travel moderately across LOGEX's locations ## Description As AI Engineer, you will help shape and deliver LOGEX's AI journey - building applied AI capabilities into our products and, where useful, into how we work. You will turn AI use cases into working, reliable software: integrating LLMs and applied AI, building pipelines, and applying machine learning where it fits the problem. The emphasis is on delivering dependable, in-product AI capabilities with the teams, and making sure what you ship is tested, monitored and dependable enough for healthcare data. You will work closely with the AI Architect, data engineers, platform and product teams, and play a central part in turning the AI direction into real features customers use - moving capabilities from prototype to production. What you will own In-product AI capabilities. Design, build and ship AI capabilities into LOGEX's products with the teams - from idea through to integrated, working features that customers use. LLM and applied AI development. Build with modern AI approaches - LLM integration, retrieval-augmented generation, prompt and evaluation design - and apply machine learning where it fits the problem. Production reliability (MLOps / LLMOps). Make AI dependable in production - deployment, monitoring, evaluation, versioning and continuous improvement of the capabilities you build. Quality, safety and compliance. Build AI that is tested, evaluated, secure and privacy-preserving, appropriate to a regulated healthcare-data environment. Your impact and responsibilities * Build and ship in-product AI capabilities with the product and engineering teams * Integrate LLMs and applied AI - RAG, prompting, evaluation - into real product features * Help turn LOGEX's AI direction into working, reliable software * Build evaluation, testing and monitoring into AI capabilities so they are reliable and observable * Deploy and operate AI in production (MLOps / LLMOps), and improve it over time * Prepare and work with data for AI, in partnership with data engineering * Apply machine learning where it fits the problem, alongside LLM-based and applied-AI approaches * Write clean, well-tested code and take part in code reviews * Build AI capabilities that are secure, privacy-preserving and compliant (GDPR and similar) * Work with the AI Architect to follow shared patterns, standards and guardrails * Apply AI to internal engineering, QA and operational workflows where it adds value Your profile We are looking for a hands-on AI engineer who can build reliable AI capabilities and bring them into production. ## Related Videos - [Are Code Reviews Worth It? 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Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [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) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) - [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)