Attività
- Learning from and being mentored by some of the best IT experts
- Developing and refining complex prompts and chains to solve specific business problems
- Working with developers to integrate LLM capabilities into wider application architectures
- Implementing RAG (Retrieval-Augmented Generation) pipelines to ground model responses
- Establishing evaluation metrics to measure prompt performance and drift
- Resolving issues related to hallucinations or latency
- Creating automated test suites for prompt regression testing
- Contributing to the internal library of prompt patterns and best practices
- Working in a real agile environment and collaborating with international teams who are friendly, supportive and open to new opinions and ideas
- Supporting the teams with various tasks related to the projects.
Requisiti principali
- Currently a bachelor’s or master’s student in a technical major
- Highly motivated to learn new things and shape your future career in IT
- Familiar with Generative AI and Prompt Engineering
- Have knowledge of Python, LangChain, RAG & Vector Databases, Model Fine-Tuning, API Integration and Agentic AI Workflows
- Familiar with Azure OpenAI Service, Knowledge Graphs, Semantic Search, Model Destillation and Multi-modal Models
- High analytical thinking with attention to details and problem-solving attitude
- Customer orientation and proactive and ownership attitude to deliver results on time and with highest quality
- Excellent collaboration and communication skills
- High flexibility and adaptability to a fast-changing environment
- Good team player with high ability to work in international teams
- Fluency in English – both written and spoken
- German would be considered as an advantage.
