Senior AI-Driven Cloud-Native Software Engineer (MES/SaaS)

Infor

Orpington

Hybrid

GBP 49,000 - 89,000

Full time

6 days ago

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Job summary

Infor MES is undergoing a significant transformation toward a cloud-native SaaS platform with embedded AI capabilities. You will join a highly experienced engineering team with manufacturing knowledge, a culture of ownership, and a passion for building software.

The role offers the chance to help establish foundations for next-generation AI features across manufacturing solutions. You will work with experienced architects, product leaders, and engineers to shape the future of intelligent

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.
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.

Responsibilities

Design and build integrations between MES services and AI platforms.
Develop tools, connectors, and orchestration services used by AI agents and intelligent applications.
Build secure APIs and service layers that expose MES business capabilities to AI-enabled solutions.
Develop reusable frameworks and patterns for tool execution, agent interaction, and workflow orchestration.
Work closely with the Principal AI Lead to define integration standards, platform capabilities, and architectural approaches.
Collaborate with cloud, product, and engineering teams to deliver AI-enabled manufacturing solutions.
Support the development of intelligent workflows spanning production, quality, maintenance, inventory, warehouse, and connected worker operations.
Design and implement event-driven integration patterns using modern cloud-native approaches.
Evaluate and implement emerging AI integration technologies, frameworks, and engineering practices.
Help establish engineering standards for security, observability, resiliency, and maintainability.
Contribute to technical design discussions and architecture reviews.
Mentor and support other engineers as AI capabilities become more broadly adopted across the organisation.