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(Senior) AIML Engineer Prompt Engineering Agent Design (fmd)

Cinemo GmbH

Karlsruhe

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • Support continuously evolving GenAI use-cases.
  • Design and evaluate LLM prompts for automotive infotainment.
  • Elevate in-car experience with AI-powered infotainment functionality.

Kenntnisse

NLP
Machine Learning
Deep Learning
Data Preprocessing
Python
English Communication

Tools

OpenSearch
ElasticSearch
Jina
Jobbeschreibung
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

Employment Type : Employee

Experience : years

Vacancy : 1

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