Applied AI Engineer Company: Arena Department: Engineering Location: London or Remote Level: Graduate – 2 Years Experience About Arena Arena is a digital entertainment company building platforms people genuinely love and we build them differently. Since 2021, our portfolio has grown to include MetaWin, WOW Vegas, BetZoo Media, Hit.com, and Rolla, with further brands in development. Our teams operate across London, Malta, Gibraltar, and Miami. AI isn't something we bolt on it's the foundation we build from. We're not constrained by legacy systems or legacy thinking. We design and build AI-first platforms from the ground up, using modern infrastructure, distributed systems, and emerging AI tooling to move faster and build better products. The Role We're growing our core engineering team with new opportunities for Applied AI Engineers and we're deliberately hiring at an early-career level. We want engineers who have grown up building with AI. Who reach for LLM tooling instinctively. Who use it to punch above their weight on complexity and who haven't yet developed habits that slow them down. This is a frontline engineering role. You'll be embedded directly in the product and engineering team, deploying AI capabilities into the core of our platforms not prototyping in isolation, but shipping into production fast. This is not a research role. This is not a corporate engineering job. You'll move from concept → prototype → production, often within days. You'll work directly with product and engineering leads, own what you build, and be trusted to make real decisions without hand-holding. What You'll Work On - Building AI-powered product features used by real users at scale - Developing LLM-powered systems, internal tooling, and automation workflows - Deploying AI agents that solve real operational and product problems - Integrating multiple model providers and AI infrastructure layers - Building backend services that support AI-driven applications - Rapid prototyping and shipping new ideas into production quickly - Improving engineering velocity through AI-native development workflows What We're Really Looking For Beyond technical skills, three things matter most to us: 1. Agency & Product Sense You don't wait to be told what to do. You understand what users want, you understand what the business needs, and you connect those two things without being asked. You get things done independently, decisively, and with genuine ownership of outcomes. 2. AI as a Force Multiplier You use AI to move faster and take on problems that would otherwise be beyond reach not as a crutch, but as a genuine tool for expanding your capability. When you hit a blocker, AI is one of the first places you look. You're already experimenting with LLM tooling, AI workflows, and multi-model orchestration in your own time. 3. Quality Without Compromise Fast doesn't mean sloppy. You think things through before you ship. You don't blindly delegate reasoning to AI you use it to accelerate your thinking, not replace it. You hold yourself to a high bar and it shows in everything you build. AI Tooling We Work With We actively experiment with modern AI engineering ecosystems. Familiarity with any of the following is a strong signal: Engineering Tools: Claude Code · Codex · OpenRouter · OpenCode · Cursor Models: Claude · Kimi · Qwen · Frontier and open-source LLMs Experience with multi-model orchestration and applied AI systems is particularly valuable. If you've built something using these tools even outside of work tell us about it. Technical Foundation You likely have: - A strong software engineering foundation CS degree, bootcamp, or self-taught, we don't mind - Comfort working across backend systems and APIs - Experience shipping real software, not just writing it - 1–2 years of professional or serious personal project experience - Genuine curiosity about how AI systems work in production We care far more about what you've built than where you've worked or studied. This Role Is Probably NOT For You If - You prefer slow-moving, highly structured environments - You want rigid processes and detailed briefs before you can start - You're primarily interested in AI research rather than shipping products - You rely on AI to do your thinking for you rather than sharpen it What We Offer - Competitive salary for level of experience - A genuine learning environment at the frontier of applied AI engineering - Direct access to senior engineers and product leadership - Freedom to experiment with new tooling and the trust to ship - International team culture across London, Gibraltar, and Miami Arena is an equal opportunities employer. We are committed to building diverse, inclusive teams and welcome applications from people of all backgrounds, regardless of where or how they learned to build.

Role Description We’re looking for a Senior Full Stack Engineer to build and scale practical GenAI applications. This is a hands-on role for someone who enjoys turning complex ideas into working software quickly. You’ll own delivery from implementation to deployment and work closely with product and AI specialists to ship real solutions - not just prototypes. We’re looking for someone who is comfortable in ambiguous environments, moves fast, and cares more about outcomes than process overhead. What you’ll do - Build and ship full-stack GenAI applications from idea to production - Collaborate closely with product stakeholders and AI specialists to deliver practical solutions - Own technical implementation, deployment, and ongoing improvements - Solve technical challenges proactively and keep delivery moving - Stay close to developments in GenAI and bring useful ideas into the stack Qualifications - Strong experience building and shipping production-grade full-stack applications - Confidence working in ambiguous, fast-changing environments - Ability to adapt quickly to new tools, frameworks, and priorities - Practical mindset: you prefer working software over theoretical perfection - Clear communication with both technical and non-technical teammates - Experience with GenAI, RAG, or related tooling is a strong plus Requirements Preferred Tech Stack - Frontend: NextJS, React, Typescript, Tailwind, Shadcn - GenAI: OpenAI APIs, LangChain, RAG, vector DBs The stack above represents our current preferences, but your flexibility and ability to adapt to new tools or environments quickly are key. You’re probably a fit if - You enjoy solving real technical problems end-to-end. - You’re comfortable prototyping and iterating before everything is perfectly defined - You know when to stay tactical and when to build for scale - You can balance speed, quality, and practicality effectively Benefits - Remote-first setup, with the option to work from Berlin or Hamburg - Production-grade work across an international client base. Real deployments, not pilots - A team of about 15 product managers and engineers, very little overhead, everyone ships real things - Base Salary of 80.000 EUR - 110.000 EUR p.a. depending on experience - We're still building how we work, not just what we build. You'll have real influence over both Company Description At nexamind, we build custom AI systems that solve complex business problems and create measurable impact. We work with clients across Europe and the US, combining technical depth with a practical, hands-on approach to ship solutions that are used in real environments. At nexamind, we redefine knowledge processes and business models with customized AI agents. With over 30 complex AI projects completed across Germany, the UK, and the US, we focus on practical, high-impact solutions for our clients. Based in Berlin, our team of top experts is dedicated to delivering real results in AI-driven efficiency and innovation.

Role Description Estamos em busca de um(a) Product Engineer com forte perfil técnico e visão de produto. Procuramos alguém que vá além da execução de tarefas e atue de forma estratégica, utilizando ferramentas de IA generativa para acelerar o desenvolvimento e transformar problemas de negócio em soluções eficientes. Essa posição é ideal para quem não espera requisitos perfeitos, mas atua com autonomia, colaborando diretamente com o Product Owner na construção e validação de soluções desde o início. Principais responsabilidades - Traduzir requisitos de negócio (mesmo que ainda não totalmente estruturados) em soluções técnicas escaláveis. - Desenvolver código limpo, eficiente e testável, utilizando IA como apoio no processo de desenvolvimento. - Atuar em parceria com Product Owner e Tech Lead na definição e refinamento de requisitos. - Criar protótipos e MVPs para validação rápida de hipóteses de negócio. - Garantir entregas ponta a ponta: da concepção técnica ao deploy e monitoramento. - Realizar code reviews rigorosos, assegurando qualidade, segurança e confiabilidade do código. - Documentar decisões técnicas e arquiteturais de forma clara e objetiva. Seus principais desafios - Acelerar o desenvolvimento com uso de IA sem comprometer a qualidade e segurança. - Atuar de forma colaborativa na construção de soluções, mesmo com cenários ambíguos. - Reduzir o tempo de entrega por meio de prototipagem e validação contínua. - Equilibrar velocidade, qualidade técnica e visão de produto. Qualifications - Experiência comprovada em desenvolvimento de software (mínimo de 2 anos). - Domínio em pelo menos uma das stacks: - JavaScript (NestJS, Next.js, Nuxt) - Python - PHP (Laravel) - C# (.NET) - Dart (Flutter) - Conhecimento sólido em estruturas de dados e bancos de dados. - Experiência com consultas complexas e análise de dados. - Vivência prática com ferramentas de IA aplicadas ao desenvolvimento (ex: GitHub Copilot, ChatGPT, Claude, Cursor). - Capacidade de avaliar criticamente códigos gerados por IA, identificando falhas de lógica e segurança. Requirements - Experiência em startups ou ambientes de alta velocidade. - Conhecimento em Design Systems e ferramentas como Figma. - Vivência com times de Growth ou desenvolvimento orientado a métricas. Benefits

• Good To Have Skills : Agentic Workflows (Strong) • RAG Workflow (Strong) • Python (Strong) • API Development and Integration (Capable)