Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field
Professional experience in AI/GenAI and LLM implementation using Python Libraries
Hands-on experiences in prompt engineering techniques (Few-Shot, Chain of Thought prompting, RAG), embeddings, and similarity search)
Machine Learning and Natural Language Processing (NLP)
Preferred Qualifications
Proficiency in Databricks, cloud computing, and the Azure environment
Proficiency with libraries such as LangChain and OpenAI
Experience with Model Context Protocol (MCP) and Multi-Agent Framkeworks
Experience with open-source LLMs (e.g., Llama) and training smaller models
Product or project management experience
Bonus Qualifications
Knowledge of Azure Power Apps and Web Apps
Experience in requirements management and test case development according to Automotive SPICE