Senior Design Engineer (Frontend-Heavy · Full-Stack Capable) in London

Senior Design Engineer (Frontend-Heavy · Full-Stack Capable) in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Perceptic

At a Glance

  • Tasks: Design and develop user-friendly interfaces for AI-driven drug discovery software.
  • Company: Join Perceptic, a pioneering tech company transforming healthcare with AI.
  • Benefits: Competitive salary, flexible work hours, and opportunities for rapid career growth.
  • Other info: Fast-paced environment with high ownership and direct feedback.
  • Why this job: Make a real impact on healthcare by creating trusted AI interfaces for scientists.
  • Qualifications: 4+ years in frontend engineering, strong design sensibility, and experience with AI products.

The predicted salary is between 60000 - 80000 £ per year.

The highest calling for AI is improving human health. At Perceptic, we're building the AI operating system that powers drug discovery - a unified intelligence layer that connects evidence, reasoning, and action across the entire drug lifecycle. We were built by operators from Palantir who spent years deploying production AI in the world's most demanding enterprise environments. We know what it takes to make ambitious technology hold up under real pressure. Now we're applying that to pharma and we're hiring engineers who've operated at the same standard.

We're hiring a Senior Design Engineer who builds at the seam between design and engineering: roughly 80% frontend, 20% backend. You design in code, and you don't wait for a pixel-perfect spec. You take a rough sketch and make it feel right. This matters more here than in most places. Our users are scientists making high-consequence calls on the back of AI reasoning, and the interface is where they decide whether to trust it. A chain of agentic reasoning either becomes something a scientist can follow and verify, or it stays a black box they shouldn't act on, and the quality of the interface decides which one it is.

What you'll own:

  • The look, feel, and interaction quality of the product end to end, from first interactive prototype to shipped, production-grade UI.
  • Interfaces that make AI scientific reasoning legible and trustworthy, surfacing provenance, citations, and confidence as first-class parts of the UI.
  • The craft of streaming AI: agent runs that unfold live, partial states, tool calls, and reasoning steps, which are the interaction problems most teams get wrong.
  • A design system and component library that scales across the platform, so quality compounds over time.
  • Prototyping at every fidelity, from sketch to interactive prototype to shipped feature, working directly with founders and engineers and skipping the static handoff.
  • Motion, micro-interactions, latency, and perceived performance: how the app feels under production data and heavy load.
  • The 20% backend: API and data-fetching layers, light services, and enough backend fluency to ship a whole feature on your own.

What we're looking for:

  • At least 4 years of professional engineering experience, frontend-heavy with broad full-stack range.
  • You've shipped polished, production AI or product UIs that people depend on, and you can talk concretely about the UX of building with language models: streaming, latency, partial states, failure modes, trust, and cost.
  • Deep frontend craft across React/TypeScript, modern CSS, accessibility, animation, and performance. You sweat the details others skip.
  • A strong design sensibility for typography, layout, hierarchy, color, and interaction. You can take a loose idea to something considered without a designer specifying every state.
  • You've built or owned a design system and understand component APIs as a product.
  • Fluent in both Figma and code, and comfortable being the person who closes the gap between them.
  • You use AI coding tools fluently and have clear opinions about where they accelerate craft and where they get in the way.
  • You've come from somewhere that held a high bar, such as FAANG, a top AI lab, or a respected product-engineering environment.
  • You want more ownership, speed, and upside than those places offer, with the product taste and judgment to make pragmatic calls without perfect requirements.

This is a high-intensity, high-stakes role. We move quickly and give direct feedback, the responsibility you carry will likely outrun your title, and you'll go wherever the company needs you most, which sometimes means unglamorous work that matters more than anything else that week. The people who do well here find that kind of ownership and growth exciting, and they weren't looking for a nine-to-five.

Senior Design Engineer (Frontend-Heavy · Full-Stack Capable) in London employer: Perceptic

At Perceptic, we pride ourselves on being an exceptional employer that fosters a culture of innovation and ownership. Our team thrives in a fast-paced environment where engineers are empowered to take charge of their projects, contributing directly to groundbreaking AI solutions in drug discovery. With a strong focus on professional growth, collaboration, and the opportunity to work alongside industry leaders, we offer a unique chance to make a meaningful impact in healthcare while enjoying a dynamic and supportive workplace.

Perceptic

Contact Details:

Perceptic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Design Engineer (Frontend-Heavy · Full-Stack Capable) in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Senior Design Engineer (Frontend-Heavy · Full-Stack Capable) in London

Frontend Development
Full-Stack Development
React
TypeScript
Modern CSS
Accessibility
Animation

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 Perceptic.

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

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 Perceptic 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.