Бразилия[Job-31930] Senior Data Developer - AI Solutions, Brazil
1 нед. назад
БразилияSeniorRemote
data developercontainerizationmvp development
Develop and deploy AI-enabled business applications to support digital transformation in supply chain analytics.
Требования
- 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
Будет плюсом
- 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
Другое
- 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.
- 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.
- 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.
- 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.
- 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.
- Package applications using Docker containers and deploy them through platforms like Portainer.
- Support environment configuration, secrets management, SSL setup, and container monitoring.
- Utilize modern development tools like VS Code, GitHub, Codex, Claude, Copilot, and Gemini for rapid prototyping and refining solutions.
- Produce and maintain technical specifications, system architecture documentation, data models, API documentation, and deployment guides.
- 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.