At a Glance
- Tasks: Lead a team to revolutionise the Software Development Life Cycle with AI-driven tools.
- Company: Join Gravitee, a forward-thinking tech company reshaping software development.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment focused on innovation and continuous improvement.
- Why this job: Make a real impact by optimising engineering processes with cutting-edge AI technologies.
- Qualifications: 7+ years in software engineering, expertise in AI, and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
Requirements
- Software Engineering Core: 7+ years of foundational software engineering experience. You are an expert backend engineer or systems architect who builds production‑grade software that scales.
- AI & LLM Mastery: Deep, recent, hands‑on experience operationalising Generative AI. You understand context windows, token optimisation, embedding models, vector databases, and RAG architectures.
- AI‑Native Workflow Philosophy: You are deeply embedded in the modern AI development ecosystem. You have a clear, pragmatic philosophy on how AI‑driven development changes code quality, testing methodologies, and technical debt.
- Management experience is a plus (managing engineering teams, with a strong preference for DevEx, Platform, Infrastructure, or Tooling teams).
- 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.
What the job involves
At Gravitee, we aren’t just using AI to build features for our users; we are completely reinventing the Software Development Life Cycle (SDLC) itself. This is not a corporate strategy role or a pure ML research position. We are looking for a leading, hands‑on AI‑native engineer.
- Build the Squad: Hire, scale, and lead a high‑performing team of Developer Experience (DevEx) and Platform Engineers.
- Lead by Example: Act as a premier AI‑native engineer, establishing the standard for how the team leverages advanced AI tools (e.g., Cursor, Devin, custom LLM workflows) to code faster, safer, and smarter.
- Foster User Empathy: Ensure your team views internal Product Managers, Designers, and Developers as their primary customers.
- Resource Planning: Masterfully balance the roadmap between long‑term, high‑leverage R&D (e.g., experimenting with multi‑agent orchestration) and immediate, tactical fixes that unblock the engineering organisation.
- Architect the AI‑Native Stack: Lead the technical implementation of our Internal Developer Platform (IDP), knowing exactly when to rely on traditional, deterministic backend orchestration vs. autonomous LLM agents.
- Master Context Engineering: Own our ingestion pipeline. You understand that AI is only as good as its context; you will build robust RAG systems that sync codebase knowledge, Linear/Jira histories, and Architecture Decision Records (ADRs) to feed internal tooling and eliminate hallucinations.
- Infrastructure Guardrails: Ensure all AI‑generated code and automated workflows are bounded by strict engineering guardrails, robust error handling, and security scanning.
- For Product: Architect tools that ingest raw customer feedback, telemetry, and business requirements to assist PMs in drafting rigorous, comprehensive Product Requirement Documents (PRDs).
- For Engineering: Seamlessly integrate advanced coding assistants that go beyond basic autocomplete, enabling entire scaffolding and test‑suite generation directly mapped to the specs created in the product phase.
- Define the Metrics: Don’t guess, measure. Establish and track the core "Physics of Gravitee": Speed, Velocity, and Quality.
- Monitor AI Adoption: Track and optimize the usage rates of internal AI tools, acceptance rates of AI‑generated code/specs, and the direct impact on DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time‑to‑Spec.".
Technical Lead (AI Platform & Developer Experience (DevEx) in London employer: Gravitee.io
At Gravitee, we pride ourselves on being an innovative employer that champions a collaborative and dynamic work culture. As a Technical Lead in our AI Platform & Developer Experience team, you will not only lead a high-performing squad but also have the opportunity to shape the future of software development through cutting-edge AI technologies. We offer a supportive environment that fosters continuous learning and growth, ensuring that our employees are equipped to thrive in their careers while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Lead (AI Platform & Developer Experience (DevEx) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Gravitee.io or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Gravitee.io.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Gravitee.io.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Gravitee.io that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Technical Lead (AI Platform & Developer Experience (DevEx) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Gravitee.io.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Gravitee.io and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Gravitee.io
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Gravitee.io uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
