Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Onsite
Job Technologies
Your role in the team
- Develop AI-driven applications using Java, Python, and cutting-edge backend frameworks.
- Develop and optimize prompt engineering techniques to fine-tune Large Language Model (LLM) outputs, ensuring technical robustness and precision.
- Design and implement automated testing frameworks specifically for LLM response quality, including unit tests, integration tests, and regression checks.
- Architect data pipelines to preprocess and manage extensive datasets used for prompt tuning and Retrieval-Augmented Generation (RAG) setups.
- Integrate vector search systems (e.g., FAISS) and other retrieval mechanisms to support RAG methodologies.
- Build scalable and reproducible infrastructure for model training, deployment, and continuous evaluation, leveraging containerization (Docker, Kubernetes) and cloud platforms.
- Utilize open-source frameworks and libraries (e.g., Hugging Face Transformers, PyTorch, TensorFlow) to enhance model performance and deployment workflows.
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Our expectations of you
Education
- An advanced degree in Computer Science, Machine Learning, or a related technical field.
Qualifications
- Proven expertise in training, fine-tuning, and optimizing pre-trained LLMs using frameworks like PyTorch or TensorFlow.
- Proficiency in Python and familiarity with automated testing tools and frameworks to ensure robust model evaluation.
- In-depth knowledge of scalable deployment strategies, including containerization (Docker, Kubernetes), cloud services (AWS, GCP, or Azure), and CI/CD pipelines.
- JAVA development skills are considered an advantage, e.g., using frameworks like Spring Boot with Spring AI.
Experience
- Extensive hands-on experience with prompt engineering, including techniques such as few-shot learning, chain-of-thought prompting, and prompt tuning.
- Solid experience with Retrieval-Augmented Generation (RAG) methodologies and integrating vector search technologies.
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Benefits
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
- 🏋🏿♂️Fitness Offers
- 🙂Health Care Benefits
- 🧘♀️Massage, Yoga, etc.
- ⚽️Tabletop Soccer, etc.
Work-Life-Integration
- 🕺No Dresscode
- ⏸Educational Leave/Sabbatical
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
- 🏠Home Office