<div class="content-intro">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.</div><h2>Why this role exists:</h2>
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.
<h2>What you’ll drive:</h2>
Technical Ownership
<ul>
<li>Own LLM-based systems from design to production support.</li>
<li>Design architectures for Generative AI systems (RAG, agents, tool/context serving).</li>
<li>Make clear trade-offs between quality, latency, cost, and complexity.</li>
<li>Set engineering standards for building and operating AI systems in production.</li>
<li>Act as a technical reference point for applied GenAI.</li>
</ul>
Hands-on AI Engineering
<ul>
<li>Build and maintain production LLM-powered systems.</li>
<li>Develop chatbots and AI assistants with predictable behavior.</li>
<li>Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).</li>
<li>Implement agent-style workflows with tool/function calling.</li>
<li>Build and integrate MCP servers or similar context/tool-serving components.</li>
<li>Integrate AI systems with backend services and ML infrastructure.</li>
</ul>
Production & Reliability
<ul>
<li>Design evaluation frameworks for LLM outputs.</li>
<li>Monitor LLM behavior, system health, and costs in production.</li>
<li>Address performance, scalability, and operational issues.</li>
<li>Handle production incidents and contribute to long-term fixes.</li>
<li>Design systems with failure modes, fallbacks, and graceful degradation.</li>
</ul>
<h2>What makes you a GR8 fit</h2>
Must-have
<ul>
<li>Strong software engineering background.</li>
<li>Proven experience building LLM-based systems in production.</li>
<li>Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.</li>
<li>Experience with context or tool-serving systems (MCP or similar).</li>
<li>Experience integrating AI into real-time production products.</li>
<li>Understanding of performance, scalability, and cost trade-offs.</li>
<li>Cloud experience (preferably AWS).</li>
<li>Strong engineering fundamentals (testing, debugging, reviews, observability).</li>
</ul>
Nice-to-have
<ul>
<li>Multi-agent or workflow-based systems.</li>
<li>Fine-tuning or adapting open-source LLMs.</li>
<li>ML platforms / MLOps background.</li>
<li>Experience operating latency- or cost-sensitive systems.</li>
<li>Production incident ownership in AI systems.</li>
</ul>
<h2>Tech Stack:</h2>
<ul>
<li>Languages: Python, SQL.</li>
<li>LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.</li>
<li>Frameworks: LangChain, LangGraph, Pydantic, Langfuse.</li>
<li>RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.</li>
<li>Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).</li>
<li>DevOps: Docker, Git, CI/CD.</li>
</ul><div class="content-conclusion"><h2 data-renderer-start-pos="906">Why you’ll love working here: </h2>
Benefits Cafeteria — annual budget you allocate to:
Sports • Medical • Mental health • Home office • Languages.
Work-life & support
<ul>
<li data-renderer-start-pos="1095">Paid maternity/paternity leave + monthly childcare allowance.</li>
<li data-renderer-start-pos="1160">20+ vacation days, unlimited sick leave, emergency time off.</li>
<li data-renderer-start-pos="1224">Remote-first + tech support + coworking compensation.</li>
<li data-renderer-start-pos="1281">Team events (online/offline/offsite).</li>
<li data-renderer-start-pos="1322">Learning culture with internal courses + growth programs.</li>
</ul>
<h2 data-renderer-start-pos="1383">Our culture & core values:</h2>
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.</div>