Senior AI Software Developer

TheStaffed•Broomfield, CO

About The Position

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.

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 synchronous/asynchronous 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

Nice To Haves

  • Background in consumer goods, manufacturing, supply chain, or distribution industries is preferred

Responsibilities

  • 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
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