AI Platform Engineer

Навыки

• AI-агенты
• API (интеграции)
• Распределённые системы
• iGaming / betting
• Kubernetes
• Мониторинг и observability
• Python

О компании и продукте

• We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
• Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
• Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
• At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

Задачи

• You will be joining the Core AI tribe within Super's Platform organisation, a team responsible for building the general-purpose infrastructure that enables product and engineering teams to leverage AI capabilities with greater effectiveness
• As an AI Platform Engineer , you will design and build the core infrastructure and developer-facing tooling that powers AI and agent development across Super
• The infrastructure you build will be used by every engineering and product team, making this one of the most impactful platform roles in the organisation
• Design, build, and operate general-purpose AI platform infrastructure — including MCP gateways, the internal agentic platform, context engineering services, and supporting SDKs and tooling
• Build secure, governed data-access and identity layers that serve both human users and autonomous agents, with appropriate access controls, auditing, and observability
• Develop developer-facing tooling and paved paths that make it straightforward for product and engineering teams to build, deploy, and observe AI-powered and agentic workflows
• Own services end to end: from architecture and implementation through to deployment, monitoring, and on-call operation on a Kubernetes-based cloud platform
• Define and codify infrastructure using infrastructure-as-code
• improve the reliability, networking, and performance of the platform
• Partner with product, security, and infrastructure teams to ensure platform capabilities are safe, compliant, and production-ready
• Set engineering standards and mentor others
• act as a force multiplier for how AI is adopted across the organisation

Требования

• 4+ years of software engineering experience building full-stack or backend-heavy product systems
• 3+ years of meaningful cloud infrastructure experience, including hands-on work with Kubernetes, infrastructure-as-code, and networking
• Credible, practical experience leveraging AI tools — including agents, SDKs, and coding assistants — to augment developer productivity and ship software more effectively
• Strong fundamentals in distributed systems, API design, security, and operational excellence
• A bias towards simplicity, paved paths, and building infrastructure that others can safely build on

Будет плюсом

• Experience with one or more of Python, TypeScript, Go, or Rust
• Experience building developer platforms, internal tooling, or platform-as-a-product
• Familiarity with the Model Context Protocol (MCP), agent orchestration, RAG, or context engineering
• Experience designing data-access, identity, or governance layers for AI/agentic systems
• Experience operating in a regulated environment

Условия

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development
• Additional benefits vary by country and will be shared during the hiring process

Паспорт вакансии

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