Senior Full Stack Engineer (AI & Platform Innovation)
Summary
Build AI-native SaaS features and the platform that powers them using Node.js, Next.js, and self-hosted LLMs, focusing on inference optimization and intelligent workflows.
- 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
Benefits
- 24 Vacation days
- Competitive Salary & Vesting Options
- Apple or Windows Devices
- Collaborative Thursday Drinks & Socials
- Hybrid Work Model
We are not looking for someone who simply integrates APIs or ships CRUD featuresWe are looking for an engineer who thinks AI-first by defaultSomeone who understands that modern software development is shifting from traditional applications toward intelligent systems, autonomous workflows, AI-assisted operations, and model-driven product experiencesSomeone who gets excited about building the infrastructure and product capabilities that will define the next generation of SaaSExperience working with LLMs, embeddings, RAG pipelines, or AI agentsA full stack mindset and the ability to own features end-to‑endThe ability to move fast without creating chaosUnderstanding of GPU workloads, inference optimization, and AI infrastructure tradeoffsCuriosity and obsession with where software engineering is heading nextExperience comparing model quality, latency, and operational costKnowledge of self-hosted/open-source models such as Llama, Mistral, DeepSeek, Qwen, or similarA strong engineering mindset focused on scalability, maintainability, and performanceWe are looking for a senior engineer with strong product intuition and a deep curiosity for modern AI systemsExperience with Next.js and modern frontend architectureYou should have:Strong experience with Node.js and modern TypeScript ecosystemsYou are the kind of engineer who:You probably spend time reading about:Inference optimizationAI developer toolingThinks beyond tickets and sees platform opportunitiesAI infrastructureHave experience fine-tuning or evaluating modelsLikes solving hard technical problemsHave experience with Kubernetes or cloud-native infrastructureWants to help shape the direction of a rapidly scaling platformQuestions old assumptions and outdated architecturesHave built AI copilots, autonomous workflows, or internal AI toolingOpen-source LLM ecosystemsExperiments with new AI tooling before it becomes mainstreamUnderstands the balance between innovation and pragmatismAgentic workflowsHave opinions about when not to use AIRetrieval systemsAnd you probably already have side projects involving AIHave worked with vector databases and retrieval systemsEmerging platform architectures