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