**\#JoinLuby** ---------------- **Here’s what you’ll get to do:** * **Grow in a high-performance environment:** A culture where continuous development is the norm — with autonomy and involvement in national and international projects that truly challenge your skills and unlock your potential. * **Join a technology-passionate team:** Work alongside experienced talent in a collaborative and disruptive environment, leveraging the most advanced technologies in the market. * **Make your mark on the world:** Our digital solutions directly impact the lives of thousands of people — and this is your chance to actively help build a more digital and connected future. * **Work remotely and flexibly:** No matter where you are, we’re ready to welcome you onto our team! **Your Mission:** We’re looking for a Senior AI Engineer to build an end-to-end Retrieval-Augmented Generation (RAG) pipeline — from retrieval and generation to delivering structured outputs in BigQuery. You’ll be responsible for ensuring response quality, defining technical excellence standards, and working hands-on with Google Cloud using the most modern GenAI tools. You’ll be a key contributor in designing intelligent solutions, partnering closely with product teams to build robust, production-ready AI systems. **Key Responsibilities:** * Own the end-to-end RAG pipeline — leading ingestion, chunking, embeddings, retrieval, and response generation. * Design, build, and optimize vector search using vector databases. * Define and execute model quality evaluation routines (relevance, grounding, and hallucination detection), continuously iterating to improve results. * Structure and ensure delivery (landing) of generated data into structured BigQuery tables. * Design integrations with multiple data sources using MCP (Model Context Protocol) and OneSource. * Operationalize Machine Learning (ML) workflows on Vertex AI / GCP — implementing CI/CD pipelines, monitoring, and ensuring reproducibility. * Collaborate closely with Product Owners and stakeholders to guide technical and architectural product decisions. **Essential Requirements:** * Experience developing and testing FullStack applications (frontend in TypeScript/React, backend in Python/Node.js) with integrated AI components. * Solid understanding of trade-offs among different generative AI models and ability to select the right model for each use case. * Hands-on experience with RAG (Retrieval-Augmented Generation), including embeddings, vector databases, and architectural patterns. * Practical experience deploying software on Azure AI Services using AWS/GCP. * Experience optimizing performance and using observability tools. * Experience with experiment tracking and implementing complex AI integrations with minimal supervision. * Ability to communicate complex AI solutions and concepts to both technical and non-technical audiences. * Familiarity with modern testing and evaluation methods for AI systems. * Ability to collaborate effectively within multidisciplinary teams, including Data Science specialists. **Nice-to-Have:** * Experience with advanced Agentic AI architecture, focusing on cost and performance optimization for generative solutions. * Experience with conversational AI (Dialogflow), BI tools (Looker), agent-based AI, or Knowledge Graphs/Ontologies. * Prior experience using RAG evaluation frameworks (e.g., LLM-as-a-judge). **What We Offer:** * **Remote Work:** Enjoy the flexibility of working from anywhere in Brazil — with full autonomy and self-organization. * **Health & Well-being:** Health and dental insurance, life insurance, and Wellhub (Gympass). * **\+Education:** Discounts on FIAP courses and USP Esalq MBA programs — so you can keep learning and growing. * **Exclusive Perks:** Discounts at Multilaser stores, referral bonuses for professionals and business leads, flexible hours, and annual bonus. ### ***Learn more about our culture, benefits, and what it’s like to be a \#Luber on our*** ***Careers Page!***
João Silva
Indeed · HR
João Silva
Indeed · HR
