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 into 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 focus on tackling the most challenging aspects of applied AI in the enterprise sector directly with clients.
About the Role
Applied AI solution engineers 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 grows, the role may extend to leading these teams, owning solutions end‑to‑end and advising clients in this space.
We generally do not train our own foundational models from scratch; we use existing closed or open‑source foundational models, potentially with fine‑tuning.
Responsibilities
The examples below describe the types of responsibilities AI solution engineers at Tomoro will have. We do not expect every successful candidate to have experience in all areas, but we encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities.
* Building AI‑powered solutions, particularly those involving large language models with our client partners.
* Client consultation and communication: regularly interacting with clients to understand their business challenges, goals and requirements, and communicating how AI solutions can address their needs.
* Technical problem‑solving: solving complex technical problems that arise during development and implementation, and collaborating with the Tomoro R&D team to address industry‑wide challenges.
* Technical leadership: providing guidance and mentorship within the team and contributing to skill development.
* Cross‑functional collaboration: working with other teams, including non‑technical ones, to ensure an integrated approach to solution development and implementation.
* Continuous learning and adaptation: staying updated with the latest developments in AI, machine learning and related technologies.
* Quality assurance and testing: ensuring reliability, effectiveness and safety of AI solutions through rigorous testing and QA practices.
* Ethical consideration and compliance: upholding and contributing to ethical standards in AI development, including data privacy, bias minimisation and regulatory compliance.
* Client training and support: assisting clients in understanding and effectively using AI solutions, and providing ongoing support and maintenance.
Qualifications and Skills
Indicators you will be a good fit:
* Building microservices, scalable data pipelines using frameworks like Spark.
* Data technologies: Python, SQL.
* Large language models, fine‑tuning (closed & open source, OpenAI API).
* Solution design primarily for data applications using Python, SQL and related tech stack.
* Analytical problem solving.
We do not restrict the technologies we use; we look for people who can adapt to new stacks when needed.
Client‑Facing Skills
* Excellent communication skills to effectively interact with clients and translate complex AI concepts into accessible language.
* Business acumen: understanding business processes and how AI can improve efficiency, reduce costs or create new opportunities.
Core Traits
Adaptable and self‑sufficient: as a fast‑paced organisation, we need team members who operate independently and are flexible to work outside their comfort zone.
Passionate and positive: we believe we can drive transformative change with AI across industries, and we seek team members who share this passion.
Creative and curious: staying at the forefront of the AI revolution requires awareness of latest developments and a proactive approach to learning and innovation.
Ethical and responsible: we expect awareness of ethical considerations such as data privacy, bias in models and societal impact of AI technologies.
Benefits
Salary range: £70,000–£90,000.
* Holiday entitlement of 25 days + bank holidays.
* Aviva Private medical insurance.
* Medicash wellness cash plan.
* Life Policy.
* Employee Assistance Programme (access to 24/7 helpline for in‑the‑moment support from qualified BACP counsellors).
* Company pension.
* Access to exclusive discount platform.
* Career Coach.
Location
Hybrid working policy. May need to be flexible to travel to client offices as part of project work.
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