20 beste Stellen als cloud platform engineer in bramfeld, hh – aktuell auf Personalsuche

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cloud platform engineer jobs near bramfeld, hh

AI Engineer

LOGEX -
Hamburg

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Our mission

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.

This is a hands-on building role — you will help shape LOGEX’s AI journey and deliver AI capabilities into our products, with the teams.

The role

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.

Experience

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

Why LOGEX?

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

Contact us!

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 [email protected]

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.

Direkt bewerben

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