About the Job
We are looking for a GenAI Engineer to join our growing Technology & R&D team.
In this role, you will design, develop and deploy cutting-edge AI solutions that enhance advanced analytics capabilities and products, helping organizations unlock the full potential of their data.
If you enjoy working with diverse teams and experimenting with emerging AI technologies to solve real-world business challenges, this role offers the perfect balance between innovation and development of actionable, data-driven solutions.
What you will be doing
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Design, fine-tune and deploy generative AI models and LLM-powered applications
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Conduct research and experiment with emerging Generative AI techniques, tools, architectures and automation frameworks, translating business needs into scalable AI-powered solutions
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Design, implement and optimize AI-driven workflows that automate processes and integrate AI capabilities into enterprise applications
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Implement prompt engineering, model optimization and evaluation strategies
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Develop data and model pipelines to support the training, deployment and lifecycle management of AI models
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Monitor model performance, reliability and scalability, continuously improving accuracy and efficiency
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Work closely with stakeholders – internal and external – including business analysts, IT teams, project managers, data scientists and engineers to understand data and business needs as well as recommend appropriate AI technologies, frameworks and architectures
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Contribute to R&D strategy and innovation, staying up to date with the latest technological advancements, sharing knowledge and supporting delivery and pre-sales activities
What we are looking for
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Bachelor’s degree in Mathematics, Statistics, Artificial Intelligence, Engineering or related field
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Master’s degree in related field
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At least 2–3 years of relevant, demonstrable experience in Generative AI, Machine Learning, Automation or Predictive Analytics, with a strong understanding in end-to-end AI models development
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Strong proficiency in Python and experience with some AI/ML libraries such as TensorFlow, PyTorch, Hugging Face, Scikit-learn
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Experience with Generative AI models including LLMs
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Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
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Experience with MLOps / LLMOps practices including model versioning, monitoring and lifecycle management
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Strong experience in data preprocessing, including cleaning, curating and preparing large datasets for model training
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Demonstrated understanding of big data technologies and core data engineering principles, including data pipelines, data lakes and distributed processing frameworks
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Working experience with Microsoft Azure Technology or Databricks or similar technology
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Strong analytical mindset with the ability to ask the right questions, connect insights and identify hidden opportunities in data
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Clear and concise communication skills, adaptable to different audiences and stakeholders
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Innovation-driven mindset, fostering exploratory thinking and a passion for discovering novel solutions
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Excellent command of Greek and English, both written and spoken
What’s in it for you?
Competitive remuneration package, cash perk and annual bonus scheme
Wellness perk
Health insurance coverage
Cutting-edge IT
equipment, mobile
and data plan
Pension plan
Continuous opportunities for development in a modern and dynamic work environment
