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 Senior AI Software Developer to design, build, and integrate business-critical enterprise applications within a Microsoft Azure environment. This role combines strong software engineering skills, AI-assisted development, cloud-native architecture, and hands-on experience integrating applications with SAP ERP and/or SAP S/4HANA.
The ideal candidate must be able to develop enterprise applications that securely exchange data with SAP, leveraging SAP integration interfaces, APIs, middleware, and event-driven architectures. Experience with SAP integration is a core requirement, as the role involves connecting modern cloud applications and AI-powered solutions with SAP and other enterprise systems.
Required Skills:
- Strong experience developing and supporting enterprise-grade software applications.
- Strong development experience with Go (Golang) and Python.
- Experience building and deploying cloud-native applications in Microsoft Azure.
- Hands-on experience integrating enterprise applications with SAP ERP and/or SAP S/4HANA.
- Practical knowledge of SAP integration methods and interfaces, such as APIs, OData, IDocs, BAPIs, RFCs, middleware, messaging, or equivalent SAP integration patterns.
- Ability to understand SAP data structures and business processes sufficiently to design reliable integrations between SAP and external applications.
- Experience using AI-assisted software development tools, such as:
- OpenAI Codex
- Claude Code
- GitHub Copilot
- Similar AI coding and software engineering tools.
- Experience developing applications or technical solutions for consumer goods, manufacturing, supply chain, distribution, or related industries.
- Strong understanding of SQL, relational databases, database schemas, and application-to-database integration.
- Experience working with PostgreSQL or similar relational database technologies.
- Understanding of application-specific databases, shared databases, data ownership, and database integration patterns.
- Strong understanding of caching architecture, including:
- Distributed caching
- Cache invalidation strategies
- Cache-aside patterns
- Application performance optimization
- Technologies such as Redis or equivalent platforms.
- Fluent or professional working proficiency in English is required for written documentation, technical discussions, collaboration, and stakeholder communication.
Azure & Integration Experience
Experience developing applications within an Azure architecture incorporating technologies such as:
- Azure API Management (APIM)
- Azure Service Bus
- Azure Event Hubs
- Azure Database for PostgreSQL
- Application-specific and centralized database architectures
- Microsoft Entra ID
- Identity and Access Management (IAM)
- Azure Key Vault
- Azure networking and secure application connectivity
- Monitoring, logging, and application observability
- CI/CD and automated cloud deployment
Experience integrating Azure-hosted applications with SAP is essential, including the ability to design secure, reliable, and maintainable data flows between SAP and cloud-based applications. Experience with SAP connectivity, API management, middleware, and asynchronous messaging is highly relevant.
AI Development & Integration
- Experience incorporating AI capabilities into enterprise applications.
- Experience integrating applications with LLMs or AI services.
- Understanding of AI agents, tool/function calling, RAG, and enterprise data retrieval.
- Ability to securely integrate AI applications with enterprise APIs, databases, SAP, and other internal systems.
- Understanding of data privacy, security, access controls, and governance for enterprise AI solutions.
- Experience using AI tools as part of the software development lifecycle, including code generation, refactoring, testing, troubleshooting, documentation, and code review.
- Ability to design AI-powered solutions that interact securely with SAP data and business processes through appropriate APIs and integration layers.
Architecture & Engineering Knowledge
- Strong understanding of REST APIs and enterprise integration patterns.
- Experience with microservices and distributed application architectures.
- Understanding of asynchronous messaging and event-driven systems.
- Knowledge of authentication and authorization concepts such as OAuth 2.0 and OpenID Connect.
- Understanding of application resiliency, retry handling, fault tolerance, scalability, and high availability.
- Ability to design maintainable application and database architectures.
- Experience troubleshooting application, integration, database, and cloud-platform issues.
- Ability to troubleshoot and resolve integration issues involving SAP, APIs, middleware, databases, and cloud applications.
Preferred Experience
- Experience developing software for a consumer goods manufacturer.
- Experience with SAP BTP, SAP Integration Suite/CPI, SAP MDG, SAP Variant Configuration, or other SAP functional/technical domains.
- Experience integrating SAP with manufacturing, order-management, MES, WMS, or shop-floor systems.
- Experience with Redis or other distributed caching technologies.
- Experience with Infrastructure as Code, CI/CD, containers, and cloud-native deployment practices.
- Experience taking AI-enabled applications from prototype through production deployment.
- Experience designing and implementing integrations using SAP-specific tools and platforms, such as SAP BTP and SAP Integration Suite/CPI.