Senior AI Software Developer

Senior AI Software Developer

We are seeking a Senior AI Software Developer to design, build, and integrate business-critical applications within a Microsoft Azure environment. This role will focus on developing cloud-native enterprise applications, incorporating AI-assisted development practices, and integrating applications 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
• Demonstrated experience integrating enterprise applications with SAP ERP and/or SAP S/4HANA
• Experience with SAP integration methods such as APIs, middleware, messaging, OData, IDocs, BAPIs, RFCs, or similar SAP integration patterns
• Experience using

AI-assisted software development tools , such as

o OpenAI Codex

o Claude Code

o GitHub Copilot

o 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

o Distributed caching

o Cache invalidation strategies

o Cache-aside patterns

o Application performance optimization

o 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 that operate 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

Candidates should understand both synchronous API integration and asynchronous/event-driven architectures .

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

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

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