.NET Software Engineer, Senior

Key Responsibilities

• 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.

Skills, Knowledge & Expertise

• 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.

Benefits

• 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.