Description

In this role, you will:

  • Focus on supporting continuously evolving GenAI use-cases
  • Design, evaluate and continue improvement of the LLM prompts and agents to be used in the next-generation automotive infotainment middleware
  • Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
  • Design LLM agents and prompt engineering for different automotive infotainment use-cases

What you will need to succeed:

  • Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing
  • Experience with designing prompts for state-of-the-art LLMs (e.g., Gemini, GPT-4, Llama3, Mistral) in order to get desired results
  • Hands-on experience with in-context-learning, few-shot-learning and designing LLM-powered applications (Chatbots, information retrieval, document summarization)  
  • Fundamental knowledge and experience in state-of-the-art RAG / LLM agent frameworks and vector databases (e.g. OpenSearch, ElasticSearch, Jina)
  • Expertise in LLM model evaluation and monitoring AI system performance
  • Proficient knowledge of Python, Painless
  • Good written and verbal English communication skills

Key Skills
Education

Any Graduate

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