A leading technology company in Germany is seeking a (Senior) Software Engineer to develop AI/ML applications for automotive infotainment systems. Candidates should have experience in NLP and LLMs, as well as proficiency in Python. The successful applicant will focus on enhancing in-car experiences globally, using cutting-edge technology. This role offers an opportunity to work on innovative automotive middleware solutions.
Qualifications
Experience in NLP, Machine Learning, Deep Learning, and Data Preprocessing.
Experience designing prompts for state-of-the-art LLMs.
Hands-on experience with LLM-powered applications and in-context learning.
Responsabilités
Support continuously evolving GenAI use-cases.
Design and evaluate LLM prompts for automotive infotainment.
Elevate in-car experience with AI-powered infotainment functionality.
Connaissances
NLP
Machine Learning
Deep Learning
Data Preprocessing
Python
English Communication
Outils
OpenSearch
ElasticSearch
Jina
Description du poste
Position Description
As a (Senior) Software Engineer at Cinemo you will play a critical role in the development and enhancement of our AI / ML powered applications for wide range of automotive hardware and OS platforms such as Android Automotive OS (AAOS) and Linux. Your primary responsibility will be to design develop and maintain high-quality Cinemos in-vehicle infotainment software solutions that meet the needs of our customers.
Responsibilities
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
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