Senior AI Engineer at SYNLAB
München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Foundation, Sql, Statistics, Maintainability, Research, Celery, Performance Metrics, Pandas, A/B Testing, Machine Learning, Design Patterns, F, Docker, Python, Fine Tuning, Scientific Programming, Unit Testing

Industry

Information Technology/IT

Description

C

  • ollaborate 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.D
  • rive AI research and experimentation : explore novel approaches, design and run experiments (including A/B tests), and translate findings into actionable improvements.S
  • upport end-to-end delivery processes : participate in release cycles, demos, and feedback loops to continuously improve AI features and user experience.

G

ENERAL SKILLS:S

  • trong foundation in OOP, modular programming, unit testing, code readability, and maintainability.F
  • amiliar with development practices: Docker, Git workflows, documentation.T
  • eam collaboration: proficiency at working within the scrum framework.A

I SKILLS:S

  • trong experience with LangChain and Azure cognitive services (e.g., Azure OpenAI, AI Search, Document Intelligence).T
  • horough understanding of GenAI and LLM concepts: prompt engineering, LLM tools, RAG architecture and agentic design patterns.P

YTHON BACKEND DEVELOPMENT SKILLS:S

  • trong 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.S
  • trong experience with Python async programming and WebSocket-based communication.E
  • xperienced in mature development practices: Docker, Git workflows, release management, documentation, and linting.F
  • amiliarity with Azure-centric development: Container Applications, Azure Functions, Service Bus, Blob Storage, etc.O

PTIONAL SKILLS:A

  • dvanced GenAI skills: e.g. fine-tuning, employing Huggingface models, Model-Context-Protocol (MCP).T
  • raditional Machine Learning: scientific programming with Python (Pandas, scikit-learn, PyTorch); statistics and machine learning knowledge.B
  • ackground in research with a solid understanding of algorithm performance metrics, A/B testing, and feasibility analysis.E
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Responsibilities

Please refer the Job description for details

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