At a Glance
- Tasks: Design and deploy impactful AI systems for leading industries.
- Company: Join a mission-driven tech company transforming critical institutions with AI.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture focused on creativity and customer success.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: Passion for AI, coding skills, and a collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology. To make that happen, we embed with industry-leading customers to drive AI transformation.
Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives. Percepta is a direct partnership with General Catalyst, a global transformation and investment company.
About the role: We’re hiring Applied AI Engineers who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We are excited to build out our European presence, and you will be on the front lines of helping to define our strategy and success in the region. We don’t build prototypes or laboratory projects—you’ll design, build, and ship production-grade AI agents and workflows that drive millions in business value for customers.
- Shape the AI vision: Collaborate with customer stakeholders to define their long-term AI strategy and transformation roadmap.
- Identify high-leverage use cases: Work backwards from the long-term vision to surface and prioritize specific AI applications that connect our ambition to measurable business value.
- Ship real products: Rapidly build and deploy AI solutions that work in the wild, with real users and real data.
- Advance our core product: Encode the lessons from our customer engagements in our Mosaic product, consistently contributing new features, patterns, and abstractions.
What we’re looking for:
- AI-nativeness: You’re excited about the potential for AI to transform businesses and want to play a hands-on role in bringing frontier technology into critical institutions.
- Being generative and collaborative: You love constantly jamming on new “what if” ideas with teammates and partners.
- Extreme ownership: You’re willing to jump in and love being the one on the hook. You aren’t going to wait to be pointed at a task—you’re going to identify what you think we should do next, and then do it.
- Execution excellence and speed: You can build stuff in messy environments and know how to get code written and shipped quickly. You can hold the balance of speed and quality and know when to push the pace vs. when to slow down.
- Customer-obsession and respect: You’re motivated by understanding customer pain points and iterating directly with end users to deliver wins quickly.
Bonus if you have:
- Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
- Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop, etc).
- Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure) and DevOps tooling.
- Prior startup or founding engineer experience, balancing craft, ownership, and speed.
We’re working against an incredibly ambitious mission. It won’t be easy, but it will likely be the most fulfilling work of your career. If this excites you, let’s chat, even if you don’t meet all of the qualifications above.
Our Values:
- Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen.
- Heart in the game: What we’re doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems.
- Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs.
- Make the call: Organizations are only as strong as the pace at which they make decisions.
- Intensity with kindness: We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency.
Applied AI Engineer - Europe in London employer: Percepta
Percepta is an excellent employer that values its employees by fostering a supportive and dynamic work culture in Basildon. With a focus on employee growth, we offer comprehensive benefits including competitive salaries, performance bonuses, and robust pension schemes, ensuring that our team members thrive both personally and professionally in a hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Europe in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI space. Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions. But don’t just stop there—be ready to discuss your thought process and how you tackle problems. We want to see your passion and problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission to transform industries with AI. Let’s make it happen together!
We think you need these skills to ace Applied AI Engineer - Europe in London
Some tips for your application 🫡
Show Your Passion for AI:Let us see your excitement for AI in your application! Share specific examples of how you've engaged with AI technologies and how you envision their impact on industries. We want to know why you're the right fit for this transformative role.
Tailor Your Application:Don’t just send a generic CV and cover letter. Make sure to highlight your relevant experience and skills that align with our mission at Percepta. Show us how your background makes you a perfect match for the Applied AI Engineer position.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point while showcasing your personality.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Percepta
✨Understand the AI Landscape
Before your interview, dive deep into the current trends and challenges in applied AI, especially in industries like healthcare and manufacturing. This will help you speak confidently about how your skills can contribute to Percepta's mission of transforming critical institutions.
✨Showcase Your Problem-Solving Skills
Prepare specific examples from your past experiences where you've identified problems and implemented AI solutions. Highlight your ability to work in messy environments and balance speed with quality, as this aligns perfectly with what they’re looking for.
✨Emphasise Collaboration and Ownership
Be ready to discuss how you’ve collaborated with teams to shape AI strategies and deliver impactful solutions. Demonstrating your willingness to take extreme ownership of projects will resonate well with their values.
✨Ask Insightful Questions
Prepare thoughtful questions that show your genuine interest in Percepta’s mission and values. Inquire about their current projects or challenges they face in deploying AI solutions, which will demonstrate your customer-obsession and respect for their work.