Senior AI Engineer in London

The company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.

We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customers need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.

In this role as an AI Engineer at the company, you will be working in a client AI platform team which is building reusable foundations to accelerate the adoption of AI (ML & agentic) across the organization. You will be responsible for designing, building, and deploying agentic AI solutions, working closely with product and client teams to bring use cases into production.

Responsibilities:

• Prototype and iterate on AI use cases rapidly
• Develop and implement agentic workflows
• Integrate LLMs, APIs, and data pipelines into scalable solutions
• Collaborate with Product Managers and stakeholders to refine requirements
• Ensure model performance, reliability, and monitoring
• Contribute to best practices in AI engineering and MLOps

Required Experience:

• Strong Python with agent frameworks
• Experience with LLMs and prompt engineering
• Solid understanding of data pipelines and APIs
• Experience deploying models in production environments
• Familiarity with cloud platforms (AWS/ Azure/ GCP)

Desirable Experience:

• Knowledge of vector databases and retrieval-augmented generation (RAG)
• Exposure to MLOps tooling (CI/CD, monitoring, model versioning)
• Experience in regulated industries (e.g. utilities, energy)

Working at the Company:

We have grown from six founders to 180+ people across five countries in three years, and what sets us apart isn’t the pace, it’s how we grow. Real flexibility, in practice. We trust you to perform at your best and still have a life outside of work, with genuine hybrid working, a home office budget, an open feedback culture where your voice shapes decisions, and time off when life needs it (birthday included). When the company wins, you win. We offer profit share so success is shared, meaningful recognition for great work, and benefits that look after you and your family, including private healthcare, competitive salary benchmarking, and a confidential employee assistance program covering counselling, mental health support, and financial wellbeing.

A community you’ll genuinely want to be part of. Interest-based communities like running and book clubs, Women in Tech group, monthly socials, and cross-regional events bring people together across the company. An inclusive, collaborative culture where you don’t need to conform to succeed, where people support one another and feel comfortable being themselves. Where meaningful work meets real growth. You will tackle complex, real world problems at the forefront of platform engineering, AI, security, and scalable systems. Your growth is supported by learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities that take your impact beyond the company.

We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us.