Applied AI Engineer, Athens, Thessaloniki, Cyprus, Hybrid (3-2)

Our client is a global online trading platform providing access to forex, commodities, equities, and other financial instruments. The company is investing heavily in Generative AI capabilities and is expanding its AI engineering team across Greece (Athen, Thessaloniki) and Cyprus to build and deploy production-grade AI systems for both internal operations and client-facing products.

The role

You’ll join a growing AI engineering team working at the intersection of backend engineering and Generative AI. Your focus will be on designing, building, and deploying end-to-end AI-powered systems that integrate LLMs, retrieval pipelines, and scalable backend services.

In your first six months, you’ll get familiar with the existing AI architecture, contribute to production GenAI features, and help evolve the platform by improving performance, reliability, observability, and cost efficiency of AI-driven systems.

You’ll also actively collaborate with cross-functional teams (product, frontend, data, and engineering) to deliver robust AI solutions in production environments

What will you bring

• BSc/MSc in Computer Science, Engineering, or a related field
• 5+ years of backend development experience (Golang preferred, Java or Python also acceptable)
• 2+ years of hands-on experience building and deploying production-grade GenAI applications
• Strong understanding of vector databases and semantic retrieval techniques
• Practical experience with LLMs, prompt engineering, APIs, and related tooling
• Experience with agentic architectures and orchestration frameworks (e.g., LangChain, Genkit)
• Solid understanding of the full software development lifecycle, including CI/CD and cloud deployment
• Proven experience in cross-functional collaboration with product and program teams
• Experience in optimizing, monitoring, and testing LLM-based systems
• Passion for emerging AI technologies and continuous innovation
• Strong teamwork, problem-solving mindset, and commitment to continuous learning

Nice to Have

• Experience with AWS (EC2, S3, SQS)
• Familiarity with LLM observability tools (e.g., LangFuse) and tracing frameworks
• Experience building pipelines for model evaluation and continuous improvement
• Portfolio of open-source contributions, side projects, or technical content

What’s in for you

Monthly gross salary in the range of €3,200–€5,000, depending on experience, plus performance-based bonus scheme. Hybrid working model (2 days from home, 3 days in-office in Athens, Thessaloniki, or Cyprus). Additional benefits include private health insurance, ticket restaurant, international training opportunities, and a highly innovative environment focused on cutting-edge Generative AI and production-scale AI systems.