AI Engineer
18 hours ago
AdTech Holding is an Innovation hub based in Cyprus, which creates vibrant startup ecosystems and technologies for AdTech & MarTech projects.
Since 2011, AdTech Holding has been a starting point for an array of industry-leading advertising and digital marketing companies (PropellerAds, Zeydoo etc). Holding brings the most daring ideas to the market and creates cutting-edge solutions to deliver technology globally.
We are looking for an AI Engineer (LLM) for our Product Team
This vacancy assumes relocation to Cyprus or Serbia
Responsibilities:
- Design, develop, and iteratively improve effective prompts, chains, and agentic workflows for a variety of tasks (e.g., data categorization, content generation, code assistance).
- Work with open-source LLMs (e.g., Llama, Mistral) to adapt them for specific internal tasks using prompt-based techniques and parameter tuning.
- Collaborate with ML engineers on the initial data preparation and evaluation for potential fine-tuning projects.
- Create robust and user-friendly interfaces for internal AI tools, such as chatbots or text processors.
- Working with intelligent features — smart prompts in tasks and autonomous agents that gather backlogs and predict risks.
- Complex production pipelines — designing and scaling end-to-end systems from data to inference, ensuring seamless operation and rapid feature delivery.
- Designing and implementing systems based on Retrieval-Augmented Generation (RAG).
Requirements:
- Strong experience in prompt engineering and designing effective LLM workflows (e.g., using Chain-of-Thought, few-shot learning).
- Solid Python programming skills for scripting, API interactions, and data manipulation.
- Practical, hands-on experience with the OpenAI API and/or other commercial LLM APIs.
- A solid conceptual understanding of how Large Language Models work (transformers, attention, tokenization, limitations).
Nice-to-Have Skills:
- Familiarity with frameworks like LangChain or LlamaIndex to build complex applications.
- Basic experience with running inference of open-source LLMs locally or on cloud instances.
- Understanding of Retrieval-Augmented Generation (RAG) architecture and its implementation.
- Experience with the Hugging Face ecosystem (transformers library, loading models, running inference).
We offer freedom of choice: with us, you'd have a cafeteria benefits system where you can choose which benefits would fit your individual needs.
And, of course, a standard pack of benefits as well: health insurance, fully covered 10 working days of sick leave per year, 5 additional day-offs per year, English and other languages compensation, quartile, and annual bonuses, corporate events, gifts, also food (yummy) - you can find snacks in our worldwide working spaces and breakfasts & lunches in the offices
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