Principal AI Engineer in London

Principal AI Engineer in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Gravitee

At a Glance

  • Tasks: Lead a team to build AI-augmented platforms and enhance developer experiences.
  • Company: Gravitee, a leader in API management and AI security.
  • Benefits: Competitive salary, stock options, 25 days holiday, and wellness allowance.
  • Other info: Dynamic culture with endless growth opportunities and a commitment to diversity.
  • Why this job: Join us to shape the future of AI and digital infrastructure.
  • Qualifications: 7+ years in software engineering with a focus on Generative AI.

The predicted salary is between 80000 - 100000 £ per year.

Gravitee is a 2025 Gartner® Magic Quadrant™ Leader, on a mission to govern the world’s intelligence. We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder.

The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security.

The Momentum: A high-growth Leader - combining market credibility with startup speed.

The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure. Don’t just watch the AI revolution. Build the infrastructure that controls and secures it.

The Role: AI is reshaping how organisations build, ship, and scale digital products and APIs are the connective tissue that makes it possible. As a Director of AI Strategy & Engineering, you’ll play a critical role in shaping our Builder Experience and lead the team responsible for executing it. You will lead a squad of DevEx and Platform Engineers to build an AI-augmented ecosystem that optimises every phase of the lifecycle, from product ideation to production deployment. As a founding AI leader, you will own the end-to-end playbook for operationalising intelligence, building both the technological infrastructure and the team culture from the ground up in a dedicated, greenfield environment.

What You’ll Be Doing:

  • Team Leadership & Management
    • Build the Squad: scale a high-performing team of Developer Experience and Platform Engineers.
    • Mentorship: Foster a culture of technical excellence and user empathy, ensuring your team view internal Product Managers and Developers as their primary customers.
    • Resource Planning: Balance the roadmap between long-term R&D (e.g., experimenting with new LLM agents) and immediate tactical fixes that unblock the engineering organisation.
  • Strategy & Vision
    • Define the roadmap for the Internal Developer Platform (IDP) with a "Zero-Friction" mindset.
    • Drive the adoption of AI-native workflows by bridging the gap between cutting-edge LLM capabilities and the operational realities of a high-speed development environment.
  • Platform Architecture & Context Engineering
    • Lead the technical implementation of the platform. This involves integrating LLMs into our version control, issue tracking (Jira/Linear), and documentation tools.
    • Own Context Management: Ensure our internal AI tools have the right context (codebase knowledge, historical PRDs, architecture decision records) to provide accurate, hallucination-free assistance.
  • Workflow Acceleration
    • For Product: Build tools that ingest user feedback and assist in drafting rigorous Product Requirement Documents (PRDs).
    • For Engineering: Integrate coding assistants that go beyond autocomplete, enabling entire scaffolding generation based on the PRDs created in the previous step.
  • Metrics & Reporting
    • Define and track the "Physics of Gravitee": Speed, Velocity, and Quality.
    • Report on AI Adoption: usage rates of internal tools, acceptance rates of AI-generated code/specs.
    • Report on Productivity: DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time-to-Spec." Your impact will be visible, measurable, and global.

Essential Skills:

  • 3+ years of experience managing engineering teams (DevEx, Platform, or Tooling teams preferred). You have a track record of hiring great talent and helping them grow.
  • 7+ years in software engineering with a recent, deep focus on Generative AI and LLMs.
  • You understand that "building" involves writing specs just as much as writing code. You have empathy for Product Managers and Designers.
  • Deep understanding of the SDLC (Software Development Life Cycle).
  • Familiarity with RAG (Retrieval-Augmented Generation), Vector Databases, and Context Engineering.
  • Data-Driven: You don't guess; you measure. You are comfortable defining KPIs and presenting them to executive leadership.

Who Thrives at Gravitee:

  • You’ll do well here if you care deeply about quality, clarity, and impact.
  • Are curious, adaptable, and excited by emerging technologies like AI.
  • Take ownership and follow through.
  • Value collaboration, openness, and continuous improvement.

Bonus points if you’ve worked with APIs, cloud-native platforms, AI-enabled systems, or open source, but curiosity matters most.

Life at Gravitee:

At Gravitee, we invest in humans, not just roles. You’ll get competitive medical coverage, Pension / 401k program options, stock options, 25 days holiday + in-country national holidays, 3 mental health days + wellness allowance, your birthday off, professional development budget to fuel your growth, hybrid work culture with hubs across regions, quarterly team events + annual offsite at an exciting location, and a meaningful, progressive, global company culture that is as fun as it is hardworking. Endless growth opportunities.

At Gravitee, we believe diverse perspectives make better products and stronger teams.

At Gravitee, no employee or applicant will be treated less favourably on the grounds of sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief.

Principal AI Engineer in London employer: Gravitee

Gravitee is an exceptional employer that champions innovation and personal growth, offering a dynamic work environment where employees can thrive. With competitive benefits including stock options, generous holiday allowances, and a commitment to professional development, Gravitee fosters a culture of collaboration and continuous improvement. As a leader in the AI space, you'll have the unique opportunity to shape the future of digital infrastructure while working alongside passionate builders in a supportive and inclusive atmosphere.
Gravitee

Contact Detail:

Gravitee Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal AI Engineer in London

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Gravitee. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and APIs. When you apply through our website, include links to your work so we can see what you're capable of!

✨Tip Number 3

Prepare for the interview like it’s the big game! Research Gravitee’s products and think about how your experience aligns with our mission. Be ready to discuss how you can contribute to building an AI-augmented ecosystem.

✨Tip Number 4

Follow up after your interview! A quick thank-you email can go a long way. It shows you’re genuinely interested in the role and gives you another chance to highlight why you’d be a great fit for the team.

We think you need these skills to ace Principal AI Engineer in London

Team Leadership
Mentorship
Resource Planning
AI Strategy
Generative AI
LLMs (Large Language Models)
Software Development Life Cycle (SDLC)
RAG (Retrieval-Augmented Generation)
Vector Databases
Context Engineering
Data-Driven Decision Making
KPI Definition and Reporting
Collaboration
Adaptability
Product Requirement Documents (PRDs)

Some tips for your application 🫡

Show Your Passion: When you're writing your application, let your enthusiasm for AI and engineering shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about building the future of digital infrastructure with us.

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with generative AI and LLMs. We love seeing how your skills align with our mission at Gravitee, so don’t hold back on showcasing relevant projects or achievements!

Be Clear and Concise: We appreciate clarity in communication, so keep your application straightforward. Use bullet points where possible and avoid jargon unless it’s relevant. Remember, we want to understand your journey and how you can contribute to our team without any confusion.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Gravitee.

How to prepare for a job interview at Gravitee

✨Know Your AI Stuff

Make sure you brush up on the latest trends in Generative AI and LLMs. Gravitee is looking for someone who can bridge the gap between cutting-edge technology and practical application, so be ready to discuss how you've implemented these technologies in past projects.

✨Showcase Your Leadership Skills

As a Principal AI Engineer, you'll need to lead a team effectively. Prepare examples of how you've built high-performing teams and fostered a culture of technical excellence. Think about specific challenges you've faced and how you overcame them while mentoring your team.

✨Understand the SDLC Inside Out

Gravitee values a deep understanding of the Software Development Life Cycle. Be prepared to discuss your experience with each phase, especially how you've integrated AI into the development process. Highlight any metrics you've tracked to measure success.

✨Be Data-Driven

Since this role involves defining KPIs and reporting on AI adoption, come equipped with examples of how you've used data to drive decisions in previous roles. Discuss specific metrics you've defined and how they impacted your team's performance or project outcomes.

Principal AI Engineer in London
Gravitee
Location: London

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