Software Engineer, Senior
Key Skills for This Role
Full Job Posting
A Typical Day in the Life Includes:
Designing and building integrations between MES services and AI platforms.
Developing tools, connectors, and orchestration services used by AI agents and intelligent applications.
Building secure APIs and service layers that expose MES business capabilities to AI-enabled solutions.
Developing reusable frameworks and patterns for tool execution, agent interaction, and workflow orchestration.
Working closely with the Principal AI Lead to define integration standards, platform capabilities, and architectural approaches.
Collaborating with cloud, product, and engineering teams to deliver AI-enabled manufacturing solutions.
Supporting the development of intelligent workflows spanning production, quality, maintenance, inventory, warehouse, and connected worker operations.
Designing and implementing event-driven integration patterns using modern cloud-native approaches.
Evaluating and implementing emerging AI integration technologies, frameworks, and engineering practices.
Helping establish engineering standards for security, observability, resiliency, and maintainability.
Contributing to technical design discussions and architecture reviews.
Mentoring and supporting other engineers as AI capabilities become more broadly adopted across the organisation.
Basic Qualifications:
- Demonstrated background of software engineering experience delivering enterprise applications or platforms.
- Strong hands-on development experience using C# and .NET.
- Experience building REST APIs, microservices, and distributed application architectures.
- Experience designing and implementing integrations between enterprise applications and services.
- Experience with cloud-native development on AWS, Azure, or similar cloud platforms.
- Strong understanding of software architecture, security, scalability, reliability, and observability principles.
- Experience working with event-driven architectures and asynchronous integration patterns.
- Experience working with relational databases and modern data access technologies.
- Experience developing reusable frameworks, libraries, or platform components.
- Strong problem-solving skills and the ability to work independently on complex technical challenges.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration.
- Experience building applications that leverage Large Language Models (LLMs).
- Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies.
- Experience integrating AI services into enterprise business applications.
- Experience within Manufacturing, MES, ERP, Industrial IoT, or Operational Technology environments.
- Experience building SaaS or multi-tenant cloud-native platforms.
- Experience with event streaming technologies and modern messaging platforms.
- Experience contributing to technical architecture and engineering standards.
About Infor
Global provider of industry-specific enterprise cloud software.
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