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