K-Recruiting Life Sciences

AI Engineer

Stellenbeschreibung:

Task:
  • Collaborate within an agile team to build AI-driven solutions: work with development tickets, contribute to sprint planning and reviews, and ensure alignment with team goals and timelines.

  • Drive AI research and experimentation: explore novel approaches, design and run experiments (including A/B tests), and translate findings into actionable improvements.

  • Support end-to-end delivery processes: participate in release cycles, demos, and feedback loops to continuously improve AI features and user experience.

Qualification:
  • Strong foundation in OOP, modular programming, unit testing, code readability, and maintainability.

  • Familiar with development practices: Docker, Git workflows, documentation.

  • Team collaboration: proficiency at working within the scrum framework.

  • Strong experience with LangChain and Azure cognitive services (e.g., Azure OpenAI, AI Search, Document Intelligence).

  • Thorough understanding of GenAI and LLM concepts: prompt engineering, LLM tools, RAG architecture and agentic design patterns.

  • Strong experience in building RESTful microservices, leveraging tools such as FastAPI, SQLModel, Pydantic, Pika, Celery, Pymongo. Also, knowledge of related technologies such as SQL and NoSQL databases and message brokers.

  • Strong experience with Python async programming and WebSocket-based communication.

  • Experienced in mature development practices: Docker, Git workflows, release management, documentation, and linting.

  • Familiarity with Azure-centric development: Container Applications, Azure Functions, Service Bus, Blob Storage, etc.

  • English business fluent, German nice to have

Optional Qualification:
  • Advanced GenAI skills: e.g. fine-tuning, employing Huggingface models, Model-Context-Protocol (MCP).

  • Traditional Machine Learning: scientific programming with Python (Pandas, scikit-learn, PyTorch); statistics and machine learning knowledge.

  • Background in research with a solid understanding of algorithm performance metrics, A/B testing, and feasibility analysis.

  • Experience in one or more of visualization and dashboarding tools: Streamlit, Plotly, Python Reflex, etc.

Project Details:
  • Start: ASAP
  • Duration: Perm
  • Workload: 5 Days/Week
  • Location: Remote / 2 days/week on-site in Bavaria

We will only consider candidates with a valid working visa for Germany.
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Hybrid
  • Kategorie:

    Development & IT
  • Erfahrung:

    Erfahren
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    16 Sep 2025
  • Standort:

    Munich

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