(Senior) AI/ML Engineer - Prompt Engineering / Agent Design (f/m/d)

Cinemo GmbH; Baden-Württemberg; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in automotive technology is seeking a Senior Software Engineer to develop AI/ML applications. The role involves designing advanced in-vehicle infotainment software and enhancing user experiences globally. Ideal candidates will have expertise in NLP, machine learning, and LLMs, along with strong Python skills.

Qualifikationen

• Experience in NLP, Machine Learning, Deep Learning.
• Hands-on with prompt design for LLMs like GPT-4.
• Good written and verbal English communication skills.

Aufgaben

• Develop and enhance AI/ML powered applications for automotive.
• Design, evaluate, and improve LLM prompts.
• Enhance in-car experience by creating AI functionalities.

Kenntnisse

NLP

Machine Learning

Deep Learning

Data Preprocessing

Prompt Engineering

LLM Models Evaluation

Python

Painless

Good English Communication

Tools

OpenSearch

ElasticSearch

Jina

Jobbeschreibung

Client:

Location:

Germany

Job Category:

Other

EU work permit required:

Yes

Job Reference:

0aa10b720172

Job Views:

3

Posted:

23.06.2025

Expiry Date:

07.08.2025

Job Description:

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 a 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 in-vehicle infotainment software solutions that meet customer needs. In this role, you will:

• Support continuously evolving GenAI use-cases
• Design, evaluate, and improve LLM prompts and agents for next-generation automotive infotainment middleware
• Enhance the in-car experience across different car lines worldwide by creating AI-powered infotainment functionalities
• Design LLM agents and prompt engineering for various automotive infotainment use-cases

Qualifications:

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

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