Full-Stack AI Engineer

Description

Summary: We are hiring an AI-native, full-stack engineer to design, ship, and scale production-grade applications powered by LLMs, generative AI, and workflow automation. Highlights: 1. Architect Intelligent Apps with LLMs for real-world value 2. AI-Driven Development for high velocity and code quality 3. Full-Stack Fluency across TypeScript, Node.js, and cloud ecosystems **Role overview** We are hiring an AI\-native, full\-stack engineer to design, ship, and scale production\-grade applications powered by large language models (LLMs), generative AI, and workflow automation. You will own features end\-to\-end across web, mobile, and backend services, and you will use n8n and similar tools to glue internal systems, third\- party APIs, and AI models together into reliable, observable workflows. The ideal candidate treats LLMs as a core part of their engineering loop, has strong opinions about model selection and prompt design, and is fluent across the modern JavaScript/TypeScript stack, the Google Cloud ecosystem, and modern automation platforms. **The Tech Stack** **Category Our Ecosystem** **Frontend:** Next.js, TypeScript, Tailwind CSS **Mobile:** React Native (Expo/CLI) **Backend:** Node.js (NestJS or Fastify preferred) **Cloud/Data:** Google Cloud Platform (GCP), BigQuery **AI Infrastructure:** Vertex AI, Gemini API, Anthropic/OpenAI SDKs **What You’ll Do** * **Architect Intelligent Apps:** Build and maintain full\-stack applications that leverage LLMs (Claude, Gemini, GPT\-4\) to provide real\-world value. * **AI\-Driven Development:** Utilize modern AI coding tools (Cursor, Copilot, etc.) to maintain a high velocity without sacrificing code quality. * **Data Orchestration:** Interface with **Google BigQuery** to feed structured data into **Vertex AI** pipelines for custom model tuning or RAG (Retrieval\-Augmented Generation) workflows. * **Cross\-Platform Delivery:** Maintain a unified experience between a high\-performance **Next.js** web app and a robust **React Native** mobile application. * **Prompt Engineering \& Fine\-tuning:** Move beyond simple API calls; optimize system prompts and evaluate model outputs to ensure production\-grade reliability. **Who You Are** * **An AI Power User:** You have a deep workflow involving Anthropic, Gemini, or OpenAI. You know which model excels at which task. * **GCP Savvy:** You’re comfortable navigating the Google Cloud ecosystem, specifically managing datasets in BigQuery and deploying models via Vertex AI. * **Full\-Stack Fluency:** You can jump from a TypeScript frontend component to a Node.js microservice without breaking a sweat. * **Efficiency Obsessed:** You don't believe in "doing it the hard way" if a tool can do it better. You value shipping high\-quality products over writing "manual" boilerplate. **Nice to Have:** * Experience with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph. * **Production experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar) and** hybrid search. * Experience fine\-tuning models or building robust evaluation harnesses for LLM outputs. * **Experience writing custom n8n nodes, contributing to the n8n community, or running n8n at scale (queue** mode, worker scaling, observability). Pregunta(s) de postulación: * Pretensiones Salariales Soles Idioma: * Ingles (Obligatorio) Lugar de trabajo: Empleo remoto