Luiz Vieira
I am a software engineering leader with an entrepreneurial mindset, passionate about transforming complex business challenges into scalable products powered by modern software engineering and Artificial Intelligence. Over the past 12+ years, I have designed, built, and scaled products from concept to production, combining hands-on engineering, architecture, product thinking, and technical leadership.
Lead an engineering org of 35+ across multiple squads, partnering with the CTO on strategy and architecture. Drove Generative AI adoption across the product suite — RAG, Tool Calling, Agents — while keeping a hands-on engineering presence.
Sole technical leader delivering an end-to-end Generative AI SaaS for scientific research: LLM orchestration, RAG over scientific knowledge bases, Tool Calling for data-viz workflows. Langchain · OpenAI · AWS Bedrock · Next.js.
Founded an AI-powered communication platform unifying websites, chatbots and landing pages. AI core on Claude via AWS Bedrock with RAG and Tool Calling; serverless AWS + Next.js. Led full lifecycle from MVP to go-to-market.
Three promotions in three years: from full-stack delivery on MZ's IR platform (Node.js, TypeScript) to leading tech leads across squads and standardizing the development and DevOps environment.
Fractional tech lead for four Cubo Itaú startups (via Growyx); engineering-culture consultant at DDR/BlueOne; Technical PM & founding IT engineer at Sapore S.A.
- LLMs (Claude, GPT-4, Llama)
- RAG · Fine-Tuning · Tool Calling
- AI Agents & Orchestration
- Langchain · Bedrock · OpenAI SDK
- Node.js · TypeScript · Python
- React · Next.js · Angular
- Microservices · DDD · Clean Arch.
- AWS (Certified) · Serverless · K8s
- Team scaling (35+ engineers)
- Client-facing architecture
- Full-cycle product development
- Agile · OKRs · Hiring
AI communication platform — websites, chatbots and landing pages unified. Claude + RAG on serverless AWS.
GenAI SaaS for scientific research: RAG over knowledge bases, tool-calling data-viz pipelines.
GenAI across an IR product suite — use-case discovery, AI architecture, coaching engineers on LLM patterns.