Senior Backend Engineer AI Platform

Top 3 Reasons To Join Us Advance your career in the gaming industry Take ownership and grow with global talents Build games played by millions worldwide The Job We're looking for a Senior Backend Engineer to design and build reliable, scalable backend systems that power our internal platforms and business operations. You'll own systems end to end - from architecture and implementation through deployment, observability and production troubleshooting. As we expand into AI, you'll also build and integrate LLM-powered capabilities and AI agent workflows into real internal processes. What You'll Do: • Design and build backend systems: Own the architecture and development of scalable, reliable backend services and APIs. • Solve distributed-system challenges: Design for idempotency, concurrency, consistency, retries, failure handling, and asynchronous or event-driven workflows. • Build production-ready AI systems: Integrate LLM APIs or self-hosted models into backend services, and design the supporting systems for reliability, scalability, observability and maintainability. • Build AI agent workflows: Tool calling, multi-step workflows, orchestration, and reliable AI-powered automation. • Ensure performance and reliability: Optimize databases and queries, build observability through logging, metrics and tracing, and troubleshoot production issues. • Drive engineering practices: Make architecture decisions, improve code quality, run code reviews, and mentor other engineers. Your Skills and Experience Requirements: • Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related technical field. • 4 - 5 years of experience as a Backend Engineer, with strong ownership of production systems. • Strong experience with at least one backend language such as Go, Python, Java or Node.js. • Strong understanding of system design, API design and backend architecture. • Experience with PostgreSQL, MySQL, MongoDB or similar databases, including performance tuning, indexing and transaction handling. • Experience with message queues or event-driven architecture such as Kafka, RabbitMQ, Pub/Sub or SQS. • Good understanding of distributed systems, including idempotency, concurrency, consistency, retries and failure handling. • Experience with observability - logging, metrics and tracing. • Experience diagnosing and troubleshooting production issues in large-scale or business-critical systems. • Strong understanding of SOLID principles and Clean Architecture. • Strong problem-solving skills, and the ability to independently research and evaluate new technologies and approaches. Nice to Have: • Hands-on experience with LLM applications, RAG, AI agents, tool calling or workflow orchestration. • Experience integrating OpenAI, Claude or other LLM providers, or working with self-hosted open-source models. • Experience building production-grade AI systems with a focus on reliability, evaluation, observability and scalability. Platform & delivery • Experience with Kubernetes or cloud-native technologies. • Experience with AWS, GCP or similar cloud platforms. • Experience building internal tools or workflow/AI platforms. Why You'll Love Working Here Great working environment & large scale projects. Fast adoption with new & trending technology. Opportunity to rotate in products lines. Attractive package & long-term career path.