At a Glance
- Tasks: Lead a team to build AI-augmented tools that enhance developer experience and product delivery.
- Company: Join Gravitee, a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a greenfield environment with visible results.
- Why this job: Make a tangible impact in shaping the future of AI-driven development.
- Qualifications: 7+ years in software engineering with leadership experience and a passion for AI technologies.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 3+ years of experience managing engineering teams (DevEx, Platform, or Tooling teams preferred).
- 7+ years in software engineering with a recent, deep focus on Generative AI and LLMs.
- Understanding that "building" involves writing specs just as much as writing code.
- 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: comfortable defining KPIs and presenting them to executive leadership.
- Care deeply about quality, clarity, and impact.
- 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
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. At Gravitee, impact isn’t abstract, it’s visible.
Your impact will be visible, measurable, and global.
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, 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."
Principal AI Engineer in London employer: Deepstreamtech
At Gravitee, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Principal AI Engineer, you will not only lead a talented team in a greenfield environment but also have access to continuous growth opportunities and the chance to shape the future of AI technology. Our commitment to employee well-being is reflected in our supportive work culture, where your contributions are valued and your impact is both visible and measurable.
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’s already in the AI space. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those involving Generative AI and LLMs. This is your chance to demonstrate your expertise and passion for the field, so make it shine!
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and recent projects. Be ready to discuss how you can contribute to their goals, especially around building AI-augmented ecosystems. Tailor your responses to show you understand their needs!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal AI Engineer in London
Some tips for your application 🫡
Show Your Experience:Make sure to highlight your 7+ years in software engineering, especially your recent focus on Generative AI and LLMs. We want to see how your experience aligns with the role, so don’t hold back on those details!
Emphasise Team Leadership:Since managing engineering teams is key for us, share examples of how you've built and nurtured high-performing squads. We love hearing about your mentorship style and how you’ve fostered a culture of technical excellence.
Be Data-Driven:We care deeply about metrics, so include any KPIs you've defined and how you've used data to drive decisions. Show us that you measure success and can present these insights to leadership.
Tailor Your Application:Take the time to tailor your application to our job description. Use the same language and terms we’ve used, and make it clear why you’re excited about this role at StudySmarter. And remember, apply through our website for the best chance!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your knowledge of Generative AI and LLMs. Be ready to discuss your experience with these technologies, as well as how they can be integrated into the software development lifecycle. Show that you understand both the technical and managerial aspects of the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed engineering teams in the past. Highlight your ability to hire great talent and foster a culture of mentorship and collaboration. This is key for a Principal AI Engineer, so make it clear how you can build and lead a high-performing squad.
✨Be Data-Driven
Since the role requires a strong focus on metrics, come prepared with examples of how you've defined KPIs in previous roles. Discuss how you've measured success and used data to drive decisions. This will demonstrate your alignment with their data-driven approach.
✨Emphasise Your Curiosity
The job description mentions a passion for emerging technologies. Share your thoughts on recent advancements in AI and how they could impact the industry. Showing genuine curiosity and adaptability will resonate well with the interviewers and highlight your fit for the role.
