Intellectica is recruiting an AI Foundation Model Specialist on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data & AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.
Key activities and responsibilities of this role include:
- Leading the end-to-end design, development, and delivery of advanced AI solutions, ensuring alignment with business objectives and scalable technology standards
- Developing, testing, and deploying Generative and Agentic AI applications, including agent-based workflows
- Implementing Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, advanced prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning techniques, and integrate both open-source and general-purpose AI systems
- Collaborating with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure)
- Cooperating with Data & AI Architects to design robust and scalable AI product architecture
- Optimizing AI applications for performance, scalability, and accuracy
- Coaching and mentoring junior AI Engineers in developing and integrating key AI application components
- Any other task that may be required from time to time
Professional experience & qualifications of a successful candidate:
- Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset
- Minimum of 2 years’ hands-on programming experience in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning, Deep Learning, or related fields
- Proficiency in programming languages such as Python, Java, or C++
- Hands-on experience with Large Language Models (LLMs) such as GPT, Bard, or LLaMA, as well as image generation systems like DALL·E, Stable Diffusion, or MidJourney
- Solid understanding of core Generative AI principles, including fine-tuning, prompt engineering, and integration of open-source and general-purpose AI systems
- Proven ability to architect and operate solutions built on core LLM and Generative AI technologies, including open-source frameworks, Azure OpenAI, and Amazon Bedrock
- Strong background in RESTful APIs and microservices-based architectures
- Familiarity with GPU-based computing infrastructure, relational and NoSQL databases as well as cloud services related to AI/ML will be considered a plus
- Fluent in Greek with professional-level English communication skills
Core competencies of a successful candidate:
- Strong creative problem-solving skills, with a focus on addressing real-world business challenges
- Comfortable working within a global, highly collaborative team environment
- Demonstrated leadership skills, setting clear priorities and driving effective execution
- Clear and confident communicator across cross-functional teams and stakeholders
- Proactive, dependable, and results-driven professional mindset
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