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

Position Description

We are collaborating with a renowned staffing service provider in Belgrade, Serbia, Looking Glass D.O.O. As part of this partnership, we are actively seeking talented individuals for various positions, which will be locally employed by our Serbian partner company.
Join and be a part of a dynamic and innovative team, working under a contractual agreement with our esteemed Serbian staffing service provider.

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