Лимасол, Αρχιεπισκόπου Μακαρίου Γ'
This AI/ML Engineer position within just established Innovation Team, which brings AI to company's internal processes. You will be instrumental in designing, developing, and deploying AI and natural language processing solutions that will transform how our business operates and how our users interact with our platform. The ideal candidate will have a strong foundation in AI/ML principles, a deep understanding of NLP techniques, and a passion for embedding AI to solve complex, real-world business problems.
Responsibilities:
Research & Innovation:
Track emerging AI technologies and explore new prompting methodologies;
Improve existing AI services, workflows, and documentation;
Develop architecture, PoC's and integration roadmaps for new AI services using cutting edge patterns and techniques (RAG, Agentic flows, MCP).
Engineering and Prompt Design:
Design and optimise advanced AI prompt templates and LLM interaction strategies;
Enhance quality, efficiency, and safety of AI-generated outputs.
Technical Evaluation/Assessment:
Test AI model responses across diverse scenarios;
Develop evaluation frameworks to help maintain stable quality, efficiency, and performance.
Collaboration:
Collaborate with engineering teams;
Work with Product/Process Owners to clarify and refine requirements.
Documentation:
Create and maintain prompt engineering and evaluation guidelines.
Requirements:
AI / Machine Learning:
2+ years of experience with LLM's, with expertise in fine-tuning, transfer learning;
Hands-on experience in ASR, TTS, Image captioning, classification and QA;
Hands-on experience building Conversational AI services (Chatbots).
Generative AI Prompt Engineering:
Proficiency in designing and crafting prompts for generative AI models aligned with business use cases.
Software Engineering Skills:
Proficiency in Python, with experience in implementing LLM's models and building pipelines using popular frameworks;
Hands-on experience building services using RAG, Vector stores, Multimodal LLM's;
Proficiency in Typescript would be a bonus.
Model and Service Deployment:
Hands-on experience with Docker, Kubernetes (OKD) would be a bonus.
Conditions:
We know that great talent deserves great conditions, so here's what you can expect when joining us: