AI Engineer (Agent Systems & LLM Platforms)

We are Kaizen Gaming

Kaizen Gaming the team powering Betano is one of the biggest GameTech companies in the world operating in 20 markets. We always aim to leverage cutting-edge technology providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2.700 Kaizeners from 40 nationalities spreading across 3 continents.

Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here therell be no average day for you. Ready to Press Play on Potential

Lets start with the role

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
• 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.

As an AI Engineer you will:

• 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

What youll bring:

• 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

Kaizen Gaming Perks

• Hybrid way of working;
• A buddy will support you with your onboarding;
• Competitive pay & bonus scheme;
• Developmental 360 feedback framework;
• Monthly meal allowance;
• Private health insurance for you and your family;
• Unlimited access to Udemy & continuous training;
• Family Support.

#LI-Hybrid

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