ai engineer in iGaming

Flutter Central & Eastern Europe is a technology and product hub within Flutter, a global leader in sports betting and iGaming. It unites regional brands including MaxBet, Adjarabet.com, and Adjarabet.am to build scalable platforms and innovative entertainment products for the Central and Eastern European market.

• Design, build, and maintain AI-driven applications and services, including front-end and back-end components;
• Integrate AI features into customer-facing and internal products across teams;
• Implement GenAI and multimodal use cases with LangChain, LlamaIndex, and Agent SDKs;
• Develop voice-enabled features using STT, TTS, and real-time voice synthesis;
• Design and deploy agentic AI systems with tool-using and multi-step reasoning capabilities;
• Enable agent-to-agent interactions for coordination, delegation, and multi-agent task execution;
• Build and maintain RAG pipelines and model fine-tuning workflows;
• Establish LLMOps practices covering versioning, prompt management, automated evaluations, monitoring, and CI/CD for AI;
• Develop secure, scalable RESTful APIs and data pipelines for real-time and batch AI applications;
• Work with structured and unstructured data in relational and NoSQL databases;
• Write unit and integration tests, monitor production performance, and optimize AI systems for latency, uptime, and scalability;
• Collaborate with product managers, designers, and engineers across the UK, EU, USA, and AU;
• Mentor junior engineers and help define AI development best practices.

• 5+ Years of experience in machine learning, NLP, or applied AI;
• Proven experience with LLMs, vector databases, and orchestration frameworks;
• Ability to build RAG systems, fine-tune foundation models, and design agentic AI architectures;
• Hands-on experience with A2A, MPC protocols, or frameworks for multi-agent collaboration;
• Strong Python development skills and back-end experience building scalable APIs and microservices;
• Deep understanding of LLMOps, including versioning, evaluation frameworks, model observability, and CI/CD for AI/ML;
• Experience with AWS, GCP, or Azure and secure, distributed AI infrastructure;
• Experience with experimentation frameworks such as A/B testing and reinforcement learning;
• Strong communication and collaboration skills in cross-cultural, distributed environments;
• Nice to have: Familiarity with Voice AI technologies such as Whisper, Deepgram, and ElevenLabs.

• Hybrid work;
• Individual health insurance;
• Generous annual leave;
• Paid sick leave;
• Paid maternity and paternity leave;
• Family reward;
• Performance and referral bonuses.