AI Software Developer

Nexiva•Broomfield, CO
•Hybrid

About The Position

The Senior AI Software Developer will design, build, and integrate business-critical cloud-native applications in Microsoft Azure. The role focuses on enterprise application development, SAP integration, and secure incorporation of AI and LLM capabilities into distributed, resilient systems. This is a six-month contract based in Broomfield, Colorado, with a hybrid work arrangement; local candidates are required.

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, particularly with PostgreSQL.
  • Deep expertise in Microsoft Azure services, including cloud-native development, Azure API Management, Service Bus, Event Hubs, Database for PostgreSQL, Key Vault, Entra ID/IAM, networking, and secure connectivity.
  • Proven experience integrating SAP systems, including ERP and S/4HANA, and designing synchronous and asynchronous APIs and enterprise integration patterns.
  • Hands-on experience with AI/LLM integration, AI agents, tool/function calling, RAG, 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.

Responsibilities

  • Design and develop scalable, maintainable, highly available cloud-native enterprise applications in Microsoft Azure.
  • Integrate business-critical applications with SAP ERP, SAP S/4HANA, and other enterprise systems using APIs, middleware, messaging protocols, and event-driven architectures.
  • Architect AI-assisted development practices and securely integrate LLMs, AI agents, and RAG capabilities into enterprise applications.
  • Develop and maintain microservices-based distributed architectures using asynchronous messaging, event-driven patterns, and application resiliency practices.
  • Design and optimize relational database schemas, caching strategies, and enterprise data retrieval solutions.
  • Implement secure API integrations, Azure API Management, authentication, and data governance controls.
  • Support application troubleshooting, monitoring, logging, observability, and automated CI/CD deployment pipelines.
  • Use AI-assisted development tools to improve productivity and code quality.
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