Principal AI Engineer - Hybrid

Principal AI Engineer - Hybrid

Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and evolve an AI tutoring system that transforms learning experiences.
  • Company: Join DataCamp, a leader in data and AI education for millions worldwide.
  • Benefits: Competitive salary, flexible hours, yearly learning budget, and IT equipment refresh.
  • Other info: Dynamic international start-up environment with great career growth opportunities.
  • Why this job: Shape the future of learning with cutting-edge AI technology and make a real impact.
  • Qualifications: 1+ years in LLM-based systems, strong Python skills, and empathy for learners.

The predicted salary is between 72000 - 88000 £ per year.

About Data Camp Data Camp's mission is to empower everyone with the data and AI skills essential for 21st-century success.

By providing practical, engaging learning experiences, Data Camp equips learners and organizations of all sizes to harness the power of data and AI.

As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, Data Camp is leading the charge in addressing the critical data and AI skills shortage.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors.

You will work on the core AI system that delivers real-time, adaptive learning experiences to learners.

If you're excited about building the future of human learning, this role is for you.

This role can be done remotely from anyone of the following; United Kingdom, Belgium, Portugal OR UAEAbout you At Data Camp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus.

Responsibilities Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.

Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.

Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.

Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.

Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.

Qualifications Technical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.

Strong software engineering fundamentals, architectural thinking, and fluency in Python; Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy Strong empathy for learners and content creators; Ability to reason holistically across AI behavior, content structure, platform features, and user experience.

Joining Data Camp means becoming part of a dynamic, creative, and international start-up. Competitive compensation: We offer a competitive salary with attractive benefits.

Benefit from flexible working hours because the future is flexible! Access a yearly learning budget for conferences & training to support your professional growth.

Yearly refreshment of your IT Equipment budget for your home working setup.

Principal AI Engineer - Hybrid employer: DataCamp

DataCamp is an exceptional employer that fosters a dynamic and collaborative work culture, particularly for the EMEA B2B Events Growth Manager role based in London. With a strong emphasis on employee growth and development, we offer unique opportunities to engage with enterprise customers through impactful events while enjoying the vibrant atmosphere of the city. Our commitment to innovation and teamwork ensures that every team member can thrive and contribute meaningfully to our mission.

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Contact Details:

DataCamp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal AI Engineer - Hybrid

✨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 DataCamp 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 DataCamp.

✨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 DataCamp.

✨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 DataCamp 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 Principal AI Engineer - Hybrid

AI Tutoring System Development
Prompt Engineering
Agentic Workflows
Real-Time Adaptive Learning
Software Engineering Fundamentals
Architectural Thinking
Python Programming

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 DataCamp.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DataCamp 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 DataCamp

✨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 DataCamp 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.