AI Engineer (Agent Systems & LLM Platforms) at Kaizen Gaming

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM APIs, Prompt engineering, RAG systems, Vector databases, Distributed systems, Microservices, Event-driven architectures, Semantic search, MLflow, Kubeflow, CI/CD, Azure, AWS, GCP, Kubernetes

Industry

Entertainment Providers

Description

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, there’ll be no average day for you. Ready to Press Play on Potential? Let’s 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 you’ll 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 #LI-EL1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here. We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.

Responsibilities

Design and implement end-to-end AI systems including AI agents, multi-agent orchestration, and RAG pipelines. Collaborate with platform and product teams to build scalable, production-grade AI architectures for real-time decision-making.