Software Engineer

Stelvio is working with an advanced technology company operating at the intersection of artificial intelligence and industrial manufacturing. Their platforms are deployed directly into high-volume production environments, where AI systems support critical operational decisions in real time. This is a highly technical environment focused on solving complex, real-world challenges across manufacturing operations, software engineering, applied physics, and data-driven systems. The team works closely with customers on-site, rapidly designing and deploying solutions that deliver measurable impact. The Role You will join a highly capable engineering team responsible for designing, building, and deploying software that powers AI-driven decision systems in industrial environments. This role combines hands-on software engineering with real-world problem solving. You will work closely with engineers, researchers, and customer-facing teams to understand operational challenges, develop prototypes, and deliver production-ready systems. The environment prioritises rapid iteration, ownership, and practical solutions deployed directly into live production settings. Responsibilities Develop robust and maintainable software solutions for AI-driven industrial applications Work closely with internal teams and customers to understand operational and technical requirements Build prototypes and rapidly iterate to deliver production-ready systems Design and improve infrastructure, deployment pipelines, and development workflows Implement secure, scalable, and reliable software and platform solutions Support deployment of systems in edge environments with constrained connectivity and resources Contribute to CI/CD pipelines, automated testing, and deployment processes Collaborate closely with multidisciplinary teams including engineers, researchers, and product stakeholders Requirements Strong software engineering fundamentals, supported by a degree in Computer Science, Engineering, Physics, Mathematics, or similar — or equivalent practical experience Strong programming skills in at least one of the following: Python, C/C++, Go, Typescript, or Java Experience building production-quality software systems Experience with CI/CD pipelines, automated testing, and deployment workflows Familiarity with observability and monitoring tools such as Grafana, Prometheus, or similar Experience with containerisation and orchestration tools such as Docker and Kubernetes Ability to work in fast-moving, dynamic environments with a high level of autonomy Strong communication skills and ability to collaborate with technical and non-technical stakeholders Preference for working in an office-based, highly collaborative engineering environment Benefits Opportunity to work on cutting-edge AI systems deployed in real-world industrial environments High-impact role with direct ownership and visibility into production systems Collaborative, highly technical team environment Exposure to complex engineering challenges across software, infrastructure, and applied AI Office-based culture focused on rapid iteration and continuous innovation