Software Engineer, Core AI Services

Description

The company is a global industrial software business with over 6,500 employees in more than 40 countries, and its software is used by over 90% of leading industrial companies.

This role sits in the Core AI Services team, which builds AI-enabling platform services and public APIs that are secure, reliable and cloud-native. These services serve as foundations for AI adoption across the company's product portfolio and partner ecosystem.

The team is an agile Scrum team that works on agentic systems and harness engineering, with a startup-like pace and a builder mindset. The role suits an engineer who enjoys keeping up with current AI engineering patterns and turning new technology into reliable, enterprise-ready software.

The job title is R&D Member of Technical Staff II, Core AI Services. R&D is run from a global group of 2,000+ developers working on more than 75 industrial automation and engineering products, from data management to 3D design, with AI and cloud central to the strategy and over 150 patents held.

Responsibilities

• Build scalable, fault-tolerant cloud-native services on Microsoft Azure that perform well and stay reliable.
• Develop and refine secure, well-documented public APIs and SDKs for internal and external developers, using ASP.NET Core and C.
• Work with cross-functional teams to deliver end-to-end solutions spanning data pipelines, orchestration and service APIs.
• Put strong security controls in place to protect sensitive data and keep access to AI services secure.
• Take part in design reviews, code reviews and implementation discussions to maintain high engineering standards.

Requirements

• At least 2 years of professional software engineering experience, ideally in platform or cloud-native service work. Experience with Microsoft and.NET technologies is a plus.
• Solid grasp of RESTful API design, including versioning, testing and lifecycle management.
• Proven ability to secure APIs, manage authentication and authorization, and apply data privacy practices.
• Hands-on experience deploying and debugging scalable cloud-native services using PaaS, Docker and Kubernetes.
• Strong problem-solving skills, with the ability to analyse complex technical problems and propose scalable solutions.
• Desired: interest in or exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering and tool calling.
• Desired: familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
• Desired: experience with tools for automated testing and evaluation of AI outputs.
• Desired: experience working in Agile teams and collaborating across global R&D locations.

Conditions

Full-time employment.

Hybrid working: most roles are based at a local office, with about 50% of working hours on-site. Some positions are fully office-based, and some roles supporting specific customers or markets may be remote. The working arrangement for this role will be confirmed during hiring.

The company is committed to equal opportunity and supports applicants with disabilities who request reasonable adjustments during the application process.

Benefits

• UK benefits include a flexible benefits fund, emergency leave days, adoption leave, 28 days of annual leave plus bank holidays, pension, life cover, private medical insurance, parental leave and an education assistance programme.
• Where the role is hired in several countries, the UK benefits apply to the primary location. Benefits vary by country, but packages are similarly comprehensive.