AI Engineer (Agent Systems & LLM Platforms)
At Kaizen, we are entering a new era of AI-moving beyond traditional machine learning into intelligent systems powered by Large Language Models, AI agents, and autonomous decision-making pipelines. As an AI Engineer, you will design and build end-to-end AI systems, focusing on AI Agents and multi-agent orchestration, Retrieval-Augmented Generation (RAG), Vector databases & semantic search, and Real-time AI-powered decision systems. You will work at the intersection of software engineering, machine learning, and system design, transforming AI capabilities into production-grade systems used by millions. You will collaborate closely with Platform Engineers and Product teams, contributing to the next generation of AI-driven products at Kaizen.
- Design and implement AI agents capable of reasoning, planning, and taking actions
- Build multi-agent systems with orchestrators coordinating specialized agents
- Develop workflows for tool usage, memory handling, and decision trees
- Integrate and optimize LLMs (OpenAI, open-source, etc.)
- Design prompt strategies, guardrails, and evaluation frameworks
- Improve reliability, latency, and cost efficiency of LLM-based system
- Build Retrieval-Augmented Generation (RAG) pipelines
- Design chunking, embedding, and retrieval strategies
- Ensure high-quality context injection and grounding of responses
- Work with vector databases
- Design scalable embedding pipelines
- Optimize similarity search and ranking
- Design scalable AI architectures for real-time and batch use cases
- Build APIs and services for AI model interaction
- Handle latency, concurrency, and cost optimization
- Implement evaluation pipelines for AI outputs (quality, hallucinations, drift)
- Monitor system performance and user interactions
- Continuously improve system accuracy and robustness
- Develop reusable frameworks for: Agent orchestration, RAG pipelines, Prompt/version management
- Contribute to internal AI platforms and developer tooling
- Strong software engineering experience in Python
- Experience building production-grade systems at scale
- Hands-on experience with: LLM APIs (e.g. OpenAI, Azure OpenAI), Prompt engineering & evaluation, Experience building RAG systems or AI assistants
- Architecture & Systems Thinking and understanding of: Distributed systems, Microservices & APIs, Event-driven architectures
- Search & Retrieval and experience with: Vector databases, Embeddings & semantic search, Information retrieval concepts
- Familiarity with: MLflow, Kubeflow, or similar tools, CI/CD pipelines for AI systems
- Experience with Azure, AWS, or GCP
- Understanding of containerization (Docker, Kubernetes)
- Strong problem-solving skills
- Ability to work in autonomous, cross-functional teams
- Passion for building cutting-edge AI systems
- A buddy will support you with your onboarding
- Competitive pay & bonus scheme
- Developmental 360° feedback framework
- Family Support
- Hybrid way of working
- Monthly meal allowance
- Private Health Insurance
- Private health insurance for you & your family
- Unlimited access to Udemy & continuous training
Kaizen Gaming is one of Europe's fastest-growing GameTech companies, operating the Betano and Stoiximan sports-betting and online-casino brands. Founded in 2013 and headquartered in Athens, Greece, with a major operational hub in Malta, it serves more than 13 million customers across 19 markets in Europe, the Americas and Africa. The company builds its own technology, combining sportsbook, live betting and casino products. Its flagship Betano brand has grown internationally through sponsorships including UEFA competitions and major football clubs.
