[Job-31930] Senior Data Developer - AI Solutions, Brazil

Job description

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 seeking a talented and experienced **AI Solutions Data Developer** to join the **Digital Supply Chain Analytics** team. This professional will play a key role in designing, building, deploying, and maintaining AI-enabled business applications, contributing to the digital transformation of our client’s supply chain in the consumer goods sector. The AI Solutions Engineer will work closely with the **Data Scientist** and **Data Analyst** to translate business requirements into scalable applications, databases, workflows, and user-facing tools. The ideal candidate is a hands-on builder who can quickly develop MVPs, harden solutions for production use, and deploy applications in containerized environments. ## **Responsibilities:** **Application Development:** - Design and develop internal applications that support supply chain, logistics, manufacturing, planning, procurement, and operations. - Create user interfaces for data management, workflow execution, AI-assisted recommendations, reporting and analysis, and operational decision support. - Develop APIs and backend services that support business processes. **AI Solution Implementation:** - Implement AI and machine learning capabilities as designed by the Data Scientist. - Integrate large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and predictive and optimization models. - Build workflows that operationalize AI insights into business processes. **Database Development & Data Engineering:** - Design and maintain PostgreSQL databases, including creating schemas, stored procedures, views, and ETL/ELT pipelines. - Optimize SQL performance and database efficiency. - Support master data management and operational data structures. **Data Integration:** - Build and maintain integrations with Google BigQuery, SAP, REST APIs, Microsoft 365, SharePoint, Teams, and third-party SaaS platforms. - Create automated data pipelines and synchronization processes. **Containerization & Deployment:** - Package applications using Docker containers and deploy them through platforms like Portainer. - Support environment configuration, secrets management, SSL setup, and container monitoring. **AI-Assisted Development:** - Utilize modern development tools like VS Code, GitHub, Codex, Claude, Copilot, and Gemini for rapid prototyping and refining solutions. **Technical Documentation:** - Produce and maintain technical specifications, system architecture documentation, data models, API documentation, and deployment guides. ## **Deliverables:** The professional will be expected to: - Build and deploy operational applications. - Create production-ready PostgreSQL data structures. - Develop integrations with BigQuery and enterprise systems. - Deliver functional user interfaces for business teams. - Support the deployment and maintenance of containerized applications. - Assist in AI application implementation and operationalization. - Produce technical documentation for all delivered solutions. ## **Requirements:** - Proficiency in Python - REST API development and PostgreSQL database skills. - Advanced SQL knowledge and query optimization. - Experience with Google BigQuery and data integration frameworks. - Experience integrating LLMs into applications and prompt engineering. - Familiarity with Containerization & Deployment best practices - Good English communication skills - High Intermediate level - B2 CEFR ## **Nice to Have:** - - Experience in supply chain, manufacturing, planning, logistics, inventory management, procurement, and quality systems. - Knowledge of SAP integrations and AI application deployment in operational environments. #LI-TO1