| Location | Remote, CO (Remote) |
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.
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
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 .
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
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
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