Senior Artificial Intelligence Specialist

Requirements

• Strong software engineering background.
• Proven experience building LLM-based systems in production.
• Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
• Experience with context or tool-serving systems (MCP or similar).
• Experience integrating AI into real-time production products.
• Understanding of performance, scalability, and cost trade-offs.
• Cloud experience (preferably AWS).
• Strong engineering fundamentals (testing, debugging, reviews, observability).
• Multi-agent or workflow-based systems.
• Fine-tuning or adapting open-source LLMs.
• ML platforms / MLOps background.
• Experience operating latency- or cost-sensitive systems.
• Production incident ownership in AI systems.
• Tech Stack:
• Languages: Python, SQL.
• LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.
• Frameworks: LangChain, LangGraph, Pydantic, Langfuse.
• RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.
• Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).
• DevOps: Docker, Git, CI/CD.
• Why you'll love working here:
• Benefits Cafeteria - annual budget you allocate to:
• Sports - Medical - Mental health - Home office - Languages.
• Work-life & support
• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.
• Our culture & core values:
• GR8_TECH culture is how we win - through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that's got your back.
• FUELLED BY TRUST : we're open, honest, and have each other's backs.
• OWN YOUR GAME : we take initiative and own what we do.
• ACCELER8 : we move fast, focus smart, and keep it simple.
• CHALLENGE ACCEPTED : we grow through challenges and stay curious.
• BULLETPROOF : we're resilient, ready, and always have a plan.

Benefits

Additional Information

GR8 _TECH builds B2B iGaming platforms for operators who play to lead. We deliver full-cycle, high-impact tech designed to scale - from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions. With 1000+ GR8 people across locations and time zones, we don't just ship technology - we help operators build success stories across brands, markets, and geos. Our ambition drives us. Our people make it real. If you're a challenger in spirit and a champion in action - join us. Why this role exists: We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform. This role focuses on applied Generative AI : internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate. This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only. What you'll drive: Technical Ownership Own LLM-based systems from design to production support. Design architectures for Generative AI systems (RAG, agents, tool/context serving). Make clear trade-offs between quality, latency, cost, and complexity. Set engineering standards for building and operating AI systems in production. Act as a technical reference point for applied GenAI. Hands-on AI Engineering Build and maintain production LLM-powered systems. Develop chatbots and AI assistants with predictable behavior. Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation). Implement agent-style workflows with tool/function calling. Build and integrate MCP servers or similar context/tool-serving components. Integrate AI systems with backend services and ML infrastructure. Production & Reliability Design evaluation frameworks for LLM outputs. Monitor LLM behavior, system health, and costs in production. Address performance, scalability, and operational issues. Handle production incidents and contribute to long-term fixes. Design systems with failure modes, fallbacks, and graceful degradation. What makes you a GR8 fit

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