Senior AI Software Developer

Our client is seeking a Senior AI Software Developer with 7-10 years of experience to design, build, and integrate business-critical cloud-native applications in Microsoft Azure, with a focus on enterprise application development, SAP integration, and secure incorporation of AI and LLM capabilities into distributed, resilient systems.

Responsibilities & Qualifications

• Design and develop cloud-native enterprise applications within Microsoft Azure, ensuring scalability, maintainability, and high availability
• Integrate business-critical applications with SAP ERP, SAP S/4HANA, and other enterprise systems using APIs, middleware, messaging protocols (OData, IDocs, BAPIs, RFCs), and event-driven architectures
• Architect and implement AI-assisted development practices and integrate LLMs, AI agents, and RAG capabilities securely into enterprise applications
• Develop and maintain microservices-based, distributed architectures with asynchronous messaging, event-driven patterns, and application resiliency
• Design and optimize relational database schemas, caching strategies (Redis, distributed caching), and enterprise data retrieval solutions
• Implement secure API integrations, Azure API Management, authentication (OAuth 2.0, OpenID Connect, Microsoft Entra ID), and data governance controls
• Support application troubleshooting, monitoring, logging, observability, and CI/CD automated deployment pipelines
• Leverage AI-assisted development tools (GitHub Copilot, Claude Code, OpenAI Codex) to enhance productivity and code quality

Requirements

• 7-10 years of professional software development experience building enterprise-grade applications
• Expert proficiency in Go (Golang) and Python; strong SQL and relational database skills (PostgreSQL)
• Deep expertise in Microsoft Azure services: cloud-native development, APIM, Service Bus, Event Hubs, Database for PostgreSQL, Key Vault, Entra ID/IAM, networking, and secure connectivity
• Proven experience integrating with SAP systems (ERP, S/4HANA) and designing synchronoasynchronous APIs and enterprise integration patterns
• Hands-on experience with AI/LLM integration, AI agents, tool/function calling, RAG, and enterprise data security and access controls
• Strong background in microservices, distributed architectures, event-driven design, caching mechanisms, and application fault tolerance
• Fluent or professional working proficiency in English
• Background in consumer goods, manufacturing, supply chain, or distribution industries is preferred