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

fully flexible
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Germany

Offer summary

Qualifications:

Experience in NLP, ML, DL, Data Preprocessing, Hands-on experience with LLMs.

Key responsabilities:

  • Design and maintain Cinemo's in-vehicle infotainment solutions
  • Enhance automotive infotainment middleware
Cinemo logo
Cinemo SME https://www.cinemo.com
201 - 500 Employees
About Cinemo
Cinemo is a global leader in automotive grade multimedia playback, streaming, media management and connectivity middleware in the embedded world. CPU and Operating System agnostic as well as highly optimized for low power and low footprint devices, Cinemo's unified middleware solutions decode, play, render, stream, manage and index virtually any file, disc, connected device and streaming format. Designed and optimized for the high quality requirements of the automotive industry, Cinemo`s solutions can be seamlessly integrated into entry, mid and high automotive / in-vehicle infotainment system head and rear seat units, as well as automotive Apps enabling powerful new use cases.Cinemo GmbH is a privately held German Corporation, headquartered in Karlsruhe, Germany. With a dedicated and strong engineering team, Cinemo's technologies represent the best in their class.For more information, please visit www.cinemo.com
See more Cinemo offers

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 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 Cinemo’s in-vehicle infotainment software solutions that meet the needs of our customers.
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
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Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Vector DataAgent-Based ModelElasticsearchData PreprocessingMachine LearningPython (Programming Language)OpensearchDeep LearningNatural Language Processing (NLP)
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