UK Applied AI Solution Engineer
Tomoro
| Company | Tomoro |
| Category | Engineering |
| Location | Edinburgh |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 7 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
About Tomoro Tomoro enables organisations to realise competitive advantage with the power of Generative AI. We work with large corporate clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We’re driven by applied R&D, prototyping and AI innovation. Our client teams are focused on tackling the most challenging aspects of applied AI in the enterprise sector directly with clients. About the role Applied AI solution engineers are expected to work in small teams of Tomoro and client engineers to design, build and deploy AI applications, such as agents built around Large Language Models. As your experience and expertise in the role grows, this may extend to leading these teams, owning solutions end-to-end and advising clients in this space. The typical applications we build use existing closed or open-source foundational models, potentially with some fine tuning. We generally do not need to train our own foundational models from scratch. Requirements Responsibilities The examples describe the types of responsibilities AI solution engineers at Tomoro will have. We do not expect every successful candidate to have experience in all of these areas. We encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities. AI Solution Development Building AI-powered solutions, particularly those involving large language models with our client partners. You’ll be hands-on and will own design and build of such solutions. Client Consultation and Communication Regularly interacting with clients to understand their business challenges, goals, and requirements, and effectively communicating how AI solutions can address their needs. Technical Problem-Solving Solving complex technical problems that arise during the development and implementation of AI solutions. You’ll also help bring some of these “tough problems” back to Tomoro R&D team and work with them to solve problems for the industry. Technical Leadership Providing technical guidance and leadership within the team, including mentoring junior engineers and contributing to team skill development. Cross-Functional Collaboration Working collaboratively with other teams within the company, including non-technical teams, to ensure an integrated approach to AI solution development and implementation. Continuous Learning and Adaptation Staying updated with the latest developments in AI, machine learning, and related technologies to continually enhance the quality of solutions offered. Quality Assurance and Testing Ensuring the reliability, effectiveness, and safety of AI solutions through rigorous testing and quality assurance practices. Ethical Consideration and Compliance Upholding and actively contributing to ethical standards in AI development, including considerations for data privacy, bias minimization, and regulatory compliance. Help expand our knowledge on this subject and help drive ethical ways to implement AI. Client Training and Support Assisting clients in understanding and effectively using AI solutions, and providing ongoing support and maintenance as needed. Indicators you’ll be a good fit Strong hands-on experience of developing production-grade solutions involving: • Building Microservices (including scalable data pipelines using frameworks like Spark) • Data technologies (Python, SQL) • Large language models, fine tuning (closed & open source, OpenAI API) • Solution design (mainly data applications using Python, SQL and other allied tech stack) • Analytical problem solving We are not restricted to the technologies we use to solve client challenge
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