The Company
You will join a global digital and technology consultancy delivering large-scale transformation programmes across public and private sector organisations. Based in Central London with flexible hybrid working, the business combines deep technical expertise with a strong commitment to innovation, sustainability and social impact. Engineers are trusted to influence technical direction, engage directly with clients and take ownership of high-profile projects that deliver measurable outcomes.
The Role
As a Lead Full Stack Engineer – Generative AI, you will combine hands-on software engineering with technical leadership, helping organisations adopt and scale Generative AI technologies in production environments. You will lead multidisciplinary engineering teams, shape solution architecture and drive the delivery of intelligent applications built using modern cloud platforms, AI frameworks and full-stack technologies.
Working closely with clients, stakeholders and delivery teams, you will help define technical approaches, oversee implementation and ensure solutions are scalable, secure and commercially valuable. Alongside project delivery, you will contribute to business growth through technical leadership, innovation initiatives and mentoring.
Key responsibilities include:
• Lead engineering teams delivering Generative AI solutions.
• Design and build scalable full-stack AI applications.
• Develop RAG pipelines, AI agents and LLM-powered platforms.
• Define technical architecture and engineering best practices.
• Drive delivery from proof-of-concept to production deployment.
• Engage directly with clients to shape technical solutions.
• Mentor engineers and support capability development.
• Contribute to proposals, bids and technical demonstrations.
Requirements
Must-Have
• Strong full-stack software engineering experience.
• Expertise across backend and frontend development.
• Hands-on experience with Generative AI, LLMs and AI frameworks.
• Experience building applications on cloud platforms.
• Knowledge of vector databases such as PGVector or MongoDB.
• Strong stakeholder management and communication skills.
• Experience leading technical projects and engineering teams.
Nice-to-Have
• Consulting or client-facing delivery experience.
• Experience scaling AI proof-of-concepts into production systems.
• Exposure to solution architecture and technical strategy.
• Interest in innovation, thought leadership and emerging technologies.
