AI Solution Engineer

Qualifications

• Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.
• Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.
• Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.
• Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.
• Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.
• Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.
• Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.
• Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)
• AI evaluation or AI security experience.
• Agentic development experience (MCP, multi-agent systems).
• RAG implementation experience.
• Cloud DevOps or Terraform experience.
• Prior experience in iGaming, fintech, or another regulated industry.
• AI governance experience or interest.
• Coding experience, especially in Python
• Ownership and accountability where you take responsibility for delivery, operations, and outcomes.
• Proactive collaboration across the business units and teams globally.
• Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.
• Versatile and exciting challenges that keep you going and growing.
• Hybrid working style – work in our modern and comfortable office as well as work from home office.
• Neat benefits & bonus package.