ai engineer in iGaming

Flutter Central & Eastern Europe is a technology and product hub within the Flutter family, a global leader in sports betting and iGaming. It brings together MaxBet, Adjarabet.com, and Adjarabet.am to build scalable platforms and advance entertainment, responsibility, and innovation in the Central and Eastern European region.

• Design, build, and maintain AI-driven applications and services, including front-end and back-end components;
• Collaborate across teams to integrate AI features into customer-facing and internal products;
• Implement frameworks such as LangChain, LlamaIndex, and Agent SDKs for advanced GenAI and multimodal use cases;
• 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 (A2A) interactions for coordination, delegation, and multi-agent task execution across systems;
• 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 using relational and NoSQL databases;
• Write unit and integration tests, monitor production performance, and optimize AI systems for latency, uptime, and scalability;
• Work closely 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;
• Demonstrated ability to build RAG systems, fine-tune foundation models, and design agentic AI architectures;
• Hands-on experience with A2A and 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;
• Background in experimentation frameworks, including 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.

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