Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du zuverlässige AI-Funktionalitäten für unsere Produkte, integrierst LLMs, baust Pipelines und sorgst für die Anwendung von Machine Learning unter Einhaltung von Sicherheitsstandards im Gesundheitswesen.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- High standards, but pragmatic; comfortable operating with pace and ambiguity.
- Willing to travel moderately across LOGEX's locations.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
LOGEX
LOGEX Healthcare Analytics AG ist ein führendes Unternehmen im Bereich Healthcare Analytics mit Hauptsitz in Hamburg und einer Niederlassung in Köln. Das Unternehmen konzentriert sich auf die Auswertung von Gesundheitsdaten und setzt Künstliche Intelligenz ein, um datengestützte Entscheidungsfindungen für Krankenhäuser und Kliniken zu ermöglichen. LOGEX hat das Ziel, die Ergebnisse im Gesundheitswesen durch eine effizientere Datenverarbeitung zu optimieren.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales
AI Engineer
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
