--- title: AI Engineer at Flutter Central & Eastern Europe description: We are Flutter Central & Eastern Europe (CEE). As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group`s most dynamic tech and produc --- # AI Engineer **Company:** Flutter Central & Eastern Europe **Location:** Tbilisi, Georgia **Posted:** 2026-08-11 **Apply by:** 2026-09-25 [Apply / View original posting](https://www.linkedin.com/jobs/view/4451681333) ## Job description We are Flutter Central & Eastern Europe (CEE). As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group`s most dynamic tech and product hubs in Central and Eastern Europe. We aren`t just here to participate; we`re here to change the game. By uniting local powerhouses like MaxBet, Adjarabet.com, and Adjarabet.am, we combine deep regional expertise with the scale and strength of Flutter`s global platforms. We are setting a new standard for entertainment, responsibility, and innovation — powered by real customer signals that shape everything we build. READY TO CHANGE THE GAME? Join the Flutter Central & Eastern Europe team. This is where bold, ambitious minds build scalable platforms, drive innovation, and shape the future of iGaming in the region. About the Role: you will join our AI & Innovation team as a senior engineer focused on designing, building and scaling advanced AI‑driven applications and services. You’ll work across front‑end and back‑end, integrating generative AI, voice AI, agentic systems, RAG pipelines, and LLMOps to deliver tangible business value. Key Responsibilities AI Product Development 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. GenAI & Voice AI Integration Implement cutting-edge frameworks (e.g., LangChain, LlamaIndex, Agent SDKs) to enable advanced GenAI and multimodal use cases. Develop voice-enabled features using STT, TTS, and real-time voice synthesis for conversational interfaces. Agentic AI & A2A Protocols Design and deploy agentic AI systems with tool-using, multi-step reasoning capabilities. Enable agent-to-agent (A2A) interactions for coordination, delegation, and multi-agent task execution across systems. RAG & LLMOps Engineering Build and maintain retrieval-augmented generation (RAG) pipelines and model fine-tuning workflows. Establish robust LLMOps practices—covering versioning, prompt management, automated evaluations, monitoring, and CI/CD for AI. API & Data Infrastructure Develop secure, scalable RESTful APIs and data pipelines to support both real-time and batch AI applications. Work with structured and unstructured data using relational and NoSQL databases. Testing, Optimization & Reliability Write unit/integration tests, monitor production performance, and optimize AI systems for latency, uptime, and scalability. Cross-Team Collaboration Work closely with product managers, designers, and engineers across regions (e.g. UK, EU, USA, AU). Mentor junior engineers and help define AI development best practices. Requirements 5+ years of experience in machine learning, NLP, or applied AI Proven experience with LLMs (OpenAI, Claude, Mistral, open-source models), 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, 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 : versioning, evaluation frameworks, model observability, CI/CD for AI/ML Experience with cloud platforms (AWS, GCP, or Azure) and secure, distributed AI infrastructure Familiarity with Voice AI technologies (Whisper, Deepgram, ElevenLabs) is a strong plus Background in experimentation frameworks (A/B testing, reinforcement learning) Strong communication and collaboration skills in cross-cultural, distributed environments Why choose us At Flutter CEE, people have access to vast opportunities for career growth and self-development. Our employee benefits package goes far beyond offering the minimum: We support our people in becoming their best version at work and beyond - and our benefits reflect that commitment. These are some of the benefits included in our employee package: Generous annual leave Hybrid work Individual health insurance Paid sick leave Paid maternity & paternity leave Family reward Performance & referral bonuses --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=AI+Engineer) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"AI Engineer","description":"

We are Flutter Central & Eastern Europe (CEE). As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group`s most dynamic tech and product hubs in Central and Eastern Europe. We aren`t just here to participate; we`re here to change the game. By uniting local powerhouses like MaxBet, Adjarabet.com, and Adjarabet.am, we combine deep regional expertise with the scale and strength of Flutter`s global platforms. We are setting a new standard for entertainment, responsibility, and innovation — powered by real customer signals that shape everything we build. READY TO CHANGE THE GAME? Join the Flutter Central & Eastern Europe team. This is where bold, ambitious minds build scalable platforms, drive innovation, and shape the future of iGaming in the region. About the Role: you will join our AI & Innovation team as a senior engineer focused on designing, building and scaling advanced AI‑driven applications and services. You’ll work across front‑end and back‑end, integrating generative AI, voice AI, agentic systems, RAG pipelines, and LLMOps to deliver tangible business value. Key Responsibilities AI Product Development 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. GenAI & Voice AI Integration Implement cutting-edge frameworks (e.g., LangChain, LlamaIndex, Agent SDKs) to enable advanced GenAI and multimodal use cases. Develop voice-enabled features using STT, TTS, and real-time voice synthesis for conversational interfaces. Agentic AI & A2A Protocols Design and deploy agentic AI systems with tool-using, multi-step reasoning capabilities. Enable agent-to-agent (A2A) interactions for coordination, delegation, and multi-agent task execution across systems. RAG & LLMOps Engineering Build and maintain retrieval-augmented generation (RAG) pipelines and model fine-tuning workflows. Establish robust LLMOps practices—covering versioning, prompt management, automated evaluations, monitoring, and CI/CD for AI. API & Data Infrastructure Develop secure, scalable RESTful APIs and data pipelines to support both real-time and batch AI applications. Work with structured and unstructured data using relational and NoSQL databases. Testing, Optimization & Reliability Write unit/integration tests, monitor production performance, and optimize AI systems for latency, uptime, and scalability. Cross-Team Collaboration Work closely with product managers, designers, and engineers across regions (e.g. UK, EU, USA, AU). Mentor junior engineers and help define AI development best practices. Requirements 5+ years of experience in machine learning, NLP, or applied AI Proven experience with LLMs (OpenAI, Claude, Mistral, open-source models), 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, 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 : versioning, evaluation frameworks, model observability, CI/CD for AI/ML Experience with cloud platforms (AWS, GCP, or Azure) and secure, distributed AI infrastructure Familiarity with Voice AI technologies (Whisper, Deepgram, ElevenLabs) is a strong plus Background in experimentation frameworks (A/B testing, reinforcement learning) Strong communication and collaboration skills in cross-cultural, distributed environments Why choose us At Flutter CEE, people have access to vast opportunities for career growth and self-development. Our employee benefits package goes far beyond offering the minimum: We support our people in becoming their best version at work and beyond - and our benefits reflect that commitment. These are some of the benefits included in our employee package: Generous annual leave Hybrid work Individual health insurance Paid sick leave Paid maternity & paternity leave Family reward Performance & referral bonuses

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