Senior Full Stack Engineer, LegionellaDossier

• We are not looking for someone who simply integrates APIs or ships CRUD features
• We are looking for an engineer who thinks AI-first by default
• Someone who understands that modern software development is shifting from traditional applications toward intelligent systems, autonomous workflows, AI-assisted operations, and model-driven product experiences
• Someone who gets excited about building the infrastructure and product capabilities that will define the next generation of SaaS
• 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
• 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• Questions old assumptions and outdated architectures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

Desirable

• 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