Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop reliable AI functionalities for our products, integrate LLMs, build pipelines, and apply machine learning while ensuring compliance with safety standards in the healthcare sector.
Job Technologies
Your role in the team
- 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.
- Design, build and ship AI capabilities into LOGEX's products with the teams - from idea through to integrated, working features that customers use.
- Build with modern AI approaches - LLM integration, retrieval-augmented generation, prompt and evaluation design - and apply machine learning where it fits the problem.
- Make AI dependable in production - deployment, monitoring, evaluation, versioning, and continuous improvement of the capabilities you build.
- Build AI that is tested, evaluated, secure and privacy-preserving, appropriate to a regulated healthcare-data environment.
- 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.
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Our expectations of you
Qualifications
- A strong software / data engineering background, with hands-on AI delivery.
- Strong coding ability (for example Python) and solid software engineering fundamentals.
- 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.
- Collaborative and a strong communicator, equally effective with engineers and data practitioners.
- Pragmatic about AI - focused on real value and reliability over hype.
- Hohe Standards, aber pragmatisch; vertraut im Umgang mit Tempo und Mehrdeutigkeit.
- Willing to travel moderately across LOGEX's locations.
Experience
- Solid experience building AI capabilities and shipping them into products or production.
- Experience integrating modern AI (LLMs, RAG) into real applications.
- 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.
- 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.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
LOGEX
LOGEX Healthcare Analytics AG is a leading company in the field of healthcare analytics, headquartered in Hamburg with a branch in Cologne. The company focuses on the evaluation of health data and employs artificial intelligence to enable data-driven decision-making for hospitals and clinics. LOGEX aims to optimize health outcomes through more efficient data processing.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
AI Engineer
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
