logex
logex~22h ago
New

AI Engineer

GermanyGermany·De- Hamburgmid
Machine Learning EngineerData
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Quick Summary

Overview

Our mission Better healthcare outcomes depend on turning data into intelligence that can be trusted and acted on. LOGEX holds financial, operational,

Technical Tools
Machine Learning EngineerData

Better healthcare outcomes depend on turning data into intelligence that can be trusted and acted on. LOGEX holds financial, operational, clinical and pathway data for healthcare providers across Europe, and AI is becoming central to how we turn that data into value — in our products and in how we work. We are building that capability deliberately, with the rigour a regulated healthcare-data business demands.

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.

Responsibilities

~1 min read

•      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

We are looking for a hands-on AI engineer who can build reliable AI capabilities and bring them into production.

•      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

•      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

•      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

•      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

  • 25 vacation days (based on full-time employment) to recharge, with the option to purchase additional days

  • An informal working environment with motivated colleagues

  • The possibility to work in a hybrid setup

  • A laptop and everything you need to set up a comfortable and ergonomic home office

  • Personal and professional development opportunities through our LOGEX Academy

  • Access to our mental health partner, OpenUp

  • Regular after-work drinks and many more social events

You can apply via the button below and upload your CV. For more information, or in case you have any
questions, you can contact Wesley Schreuder at wesley.schreuder@logex.com

Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.

Location & Eligibility

Where is the job
De- Hamburg, Germany
On-site at the office
Who can apply
DE

Listing Details

First seen
July 20, 2026
Last seen
July 21, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
July 20, 2026

Signal breakdown

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logexAI Engineer