Senior Platform & AI Engineer in London

About Us: 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.

Role: In this role you will be part of a team that has responsibility to design, build, and operationalise a production‑grade Architecture as Code platform that enables our client to manage architecture documentation, standards, and governance as version‑controlled code — with automated validation, AI‑powered design review, infrastructure drift detection, and a conversational AI agent for natural language Q&A across the architecture estate. The Senior Platform and AI Engineer role will be responsible for building and integrating the CI/CD pipelines, AI‑powered review system, document generation tooling, and published architecture portal. Working across the full platform stack from GitHub Actions / Azure Pipelines through to LLM orchestration and static site deployment.

Key Responsibilities:

• Build and maintain the validation pipelines (markdown linting, Mermaid syntax checking, frontmatter validation, internal link verification) with inline PR feedback.
• Develop the AI review orchestration layer including triage routing, five parallel reviewer personas, structured comment posting, and multi‑model LLM integration.
• Implement the architecture portal (static site generation, branding, Mermaid rendering, Entra ID access controls) and the AI document generation CLI tool.

Required Experience:

• Strong software engineering in Python with experience building CI/CD pipelines (GitHub Actions or Azure Pipelines).
• Hands‑on experience integrating LLM APIs (Azure OpenAI or OpenAI) including prompt engineering, structured output parsing, retry/backoff, and token budget management.
• Proficiency with Git workflows, branch protection, code review automation, and static site generators (Jekyll, Hugo, or similar).

Desirable Experience:

• Experience building agentic or multi‑persona AI systems with configurable prompts and routing logic.
• Familiarity with markdown tooling ecosystems (markdown lint, Mermaid, YAML frontmatter processing).
• Prior work on developer experience or internal platform tooling in an enterprise setting.

At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.

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 at.