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ID: POS08514

AI Engineer (m/w/d)

MedTech
Asap
Unbefristet
Bayern
Festanstellung
K-Recruiting GmbH
Ansprechpartner:

Naomi Colnaghi

+49 89 1890998-616

naomi.colnaghi@k-recruiting.com

AI Engineer (M/W/D)

 

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.

 

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

Interesse geweckt? Auf gehts!
Ansprechpartner
Naomi Colnaghi
+49 89 1890998-616
naomi.colnaghi@k-recruiting.com