[Job - 30399] Master Full-Stack Developer (AI, BI & Digital Product Improvement)
CI&T
Sobre a vaga
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are looking for a hands-on, technically strong Master Full-Stack Developer who goes beyond what is asked—someone who proactively seeks to understand end-to-end processes, engages in strategic discussions, and is always thinking about how to improve digital products . This role requires a developer comfortable working in a pre-existing codebase, with UX sensibility to support the Tessera platform, and deep expertise in modern AI development and Power BI . Technical Stack (Quick Reference) Frontend: TypeScript, React 18, TanStack Query, Material UI (MUI) Backend: Java 17, Spring Boot 3 Database: MySQL 8 Cloud & Infrastructure: Google Cloud Platform (Cloud Run, App Engine, Cloud SQL), Docker, Firebase Auth Key Responsibilities Power BI Development (Primary Focus): Responsible for the end-to-end development and maintenance of reports and dashboards within Power BI. This will serve as the primary day-to-day focus of the engagement from day one Platform Support: Handle a set of smaller fixes, system enhancements, and UX improvements on a web platform, requiring attention to detail and user empathy . Work will involve the implementation of self-contained epics (like filter/navigation UX and unit operations visibility) as well as more complex cloud infrastructure integrations for real-time collaboration . AI & Advanced Capabilities (Critical Focus): Act as a hands-on expert for AI solutions, moving beyond basic LLM-based chat interfaces . Lifecycle Execution: Perform rigorous evaluations (evals), fine-tuning, prompt engineering, and model selection for diverse AI applications . Ideation & PoC: Contribute to the ideation and development of Proofs of Concept (PoCs) and early-stage experimentation for upcoming AI use cases . Strategic Partnership: Act as a thought partner to challenge technical assumptions, evaluate the nuances of AI solutions, and help shape the direction of future digital products . Required Technical Background and Qualifications To ensure the delivery of these services, the ideal candidate must possess the following minimum requirements: Development Track Record: A strong full-stack development background with a documented history of successfully completed projects . Architectural Exposure: Demonstrated experience with application architecture design, including a deep understanding of how enterprise components integrate across the stack, rather than just isolated feature work . Tooling & Stack: Mandatory proficiency in Power BI and high comfort working across the full Java/React/GCP technology stack . AI/ML Experience: Previous involvement in AI/ML projects that successfully progressed beyond prototyping into rigorous evaluation and iterative deployment phases
Sinais de relevancia
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