AI Engineer

Direct message the job poster from K-Recruiting Life Sciences

We unite the people who make our world healthier by placing top experts with life sciences companies worldwide. Precise. Fast. Accurate.

Responsibilities

• 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.

Qualifications

• 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 Qualifications

• 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.

Start

ASAP

Duration

Perm

Location

Remote / 2 days/week on-site in Bavaria

We will only consider candidates with a valid working visa for Germany.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Pharmaceutical Manufacturing