Senior Full Stack Engineer (AI & Platform Innovation)

You will play a key role in building AI-heavy product features and the technical foundation behind them. This includes: Designing and building full stack applications using Node.js and Next.js Developing AI-native product experiences Implementing and managing self-hosted LLM infrastructure Experimenting with different open-source and commercial models Optimizing inference performance, scalability, and operational costs Evaluating which models perform best for specific use cases Building AI orchestration layers and intelligent workflows Creating systems that combine automation, context-awareness, and real-world operational data Working closely with product and engineering leadership on long-term platform strategy This is not a “bolt AI onto an existing app” role. AI will become part of the core platform architecture. What you’ll do We are looking for a senior engineer with strong product intuition and a deep curiosity for modern AI systems. You should have: Strong experience with Node.js and modern TypeScript ecosystems Experience with Next.js and modern frontend architecture A full stack mindset and the ability to own features end-to-end Experience working with LLMs, embeddings, RAG pipelines, or AI agents Knowledge of self-hosted/open-source models such as Llama, Mistral, DeepSeek, Qwen, or similar Understanding of GPU workloads, inference optimization, and AI infrastructure tradeoffs Experience comparing model quality, latency, and operational cost A strong engineering mindset focused on scalability, maintainability, and performance The ability to move fast without creating chaos Curiosity and obsession with where software engineering is heading next Bonus points if you: Have experience with Kubernetes or cloud-native infrastructure Have worked with vector databases and retrieval systems Have built AI copilots, autonomous workflows, or internal AI tooling Have experience fine-tuning or evaluating models Have opinions about when not to use AI

You are the kind of engineer who: Experiments with new AI tooling before it becomes mainstream Thinks beyond tickets and sees platform opportunities Questions old assumptions and outdated architectures Likes solving hard technical problems Understands the balance between innovation and pragmatism Wants to help shape the direction of a rapidly scaling platform You probably spend time reading about: Open-source LLM ecosystems AI infrastructure Agentic workflows Retrieval systems Inference optimization AI developer tooling Emerging platform architectures And you probably already have side projects involving AI.

The opportunity to build AI-first systems from the ground up Real ownership and influence on technical direction A rapidly growing international SaaS platform Complex technical challenges with real-world impact Freedom to experiment and innovate A strong engineering culture focused on building scalable systems The chance to help define the next evolution of BriqSafe We are moving fast. The platform is expanding internationally, new verticals are being launched, and AI is becoming a foundational part of how we build products and operate internally. If that excites you, we should talk.