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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
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