Senior Engineer, Product Design Engineering
Senior Engineer, Product Design Engineering

Senior Engineer, Product Design Engineering

Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead innovative AI projects and create user-centric learning tools.
  • Company: Dynamic AI coaching platform with a focus on real impact.
  • Benefits: Competitive salary, hybrid work model, and growth into leadership roles.
  • Other info: Join a risk-taking team passionate about transforming education through technology.
  • Why this job: Be at the forefront of AI innovation and shape the future of learning.
  • Qualifications: Expertise in AI, Python, and experience with LLMs and cloud infrastructure.

The predicted salary is between 50000 - 65000 £ per year.

Location: London (Hybrid – around 2 days a week in the office)

Salary: £50k to £65k, based on experience

Our AI coaching platform replicates the coaching of 9 of the world’s top experts. We’re looking for a Senior Product Engineer with exceptional capabilities seeking to grow into a Senior Leadership Role. Someone who likes to punch above their weight and is excited by the idea of building the 1st ever learning tool with 100% active users.

  • Are you an AI expert? We’re looking for an AI expert who will find it exciting to obsess and innovate in the field of real-time augmentation.
  • You understand users, and love owning features end-to-end: from product thinking and technical design to shipping polished experiences.
  • This role is for risk-takers only. Adjust course based on 16 months worth of data and user feedback. Build out our AI experiences — things like RAG pipelines, multimodal user experiences, and LLM-powered experiences that actually work in production.
  • Own Data and Security policy. Support the CEO/sales team during IT audits.
  • Experience leading technical projects or teams (startups or small teams are a big plus).
  • Strong background in Python, FastAPI, or similar frameworks.
  • Experience working with LLMs, vector databases, and retrieval-augmented generation (RAG).
  • Hands-on experience deploying AI systems in production.
  • Experience in dealing with IT audits with prospects.
  • A good grasp of cloud infrastructure (Azure, AWS, or GCP).
  • A curiosity for how people learn and grow — and how tech can help with that.

You’ll get to work with cutting-edge AI tech — not just talk about it. If you love the idea of building an AI product that actually helps people — and you want to be there from the start, helping shape both the tech and the culture — we’d love to chat.

Senior Engineer, Product Design Engineering employer: Ignitus

Join a forward-thinking company at the forefront of AI innovation, where your expertise as a Senior Product Engineer will directly influence the development of groundbreaking learning tools. With a hybrid work model in vibrant London, you'll enjoy a collaborative culture that encourages risk-taking and creativity, alongside opportunities for professional growth into senior leadership roles. Benefit from working with cutting-edge technology while being part of a team dedicated to making a meaningful impact on how people learn and grow.
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Contact Detail:

Ignitus Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Engineer, Product Design Engineering

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and product design. We want to see your hands-on experience and how you’ve tackled real-world problems.

✨Tip Number 3

Prepare for the interview like it’s a big game day! Research our company culture, understand our products, and be ready to discuss how your experience aligns with our mission. We love candidates who are genuinely excited about what we do.

✨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, it shows us you’re serious about joining our team and contributing to our innovative AI platform.

We think you need these skills to ace Senior Engineer, Product Design Engineering

AI Expertise
Real-time Augmentation
Product Thinking
Technical Design
Feature Ownership
Data Analysis
User Feedback Integration
RAG Pipelines
Multimodal User Experiences
LLM-powered Experiences
Python
FastAPI
Vector Databases
Cloud Infrastructure (Azure, AWS, GCP)
IT Audit Experience

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about real-time augmentation and building innovative learning tools. Share any relevant projects or experiences that highlight your passion.

Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We’re looking for someone who understands users and can own features end-to-end, so highlight those experiences!

Be Bold and Authentic: This role is for risk-takers, so don’t be afraid to show your personality! Share your unique approach to problem-solving and how you've adjusted course based on data and feedback in past projects. We appreciate authenticity!

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 it gets into the right hands. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Ignitus

✨Know Your AI Stuff

Make sure you brush up on your AI knowledge, especially around real-time augmentation and LLMs. Be ready to discuss your hands-on experience with deploying AI systems in production and how you've used Python or FastAPI in your projects.

✨Showcase Your User-Centric Approach

Prepare examples that highlight your understanding of users and how you've owned features from start to finish. Think about specific instances where you’ve gathered user feedback and adjusted your designs accordingly.

✨Be Ready to Talk Risk-Taking

This role is for risk-takers, so come prepared with stories that demonstrate your ability to take calculated risks. Discuss how you've adjusted course based on data and user feedback in past projects.

✨Familiarise Yourself with Cloud Infrastructure

Since cloud infrastructure is key, make sure you can talk confidently about your experience with Azure, AWS, or GCP. Be ready to discuss how you've integrated these technologies into your projects and any challenges you've faced.

Senior Engineer, Product Design Engineering
Ignitus

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