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- Tasks: Lead the development of innovative AI products and enhance user experiences.
- Company: Dynamic AI coaching platform with a focus on real-time augmentation.
- Benefits: Competitive salary, hybrid work model, and opportunities for leadership growth.
- Other info: Join a risk-taking team passionate about shaping the future of education technology.
- Why this job: Be at the forefront of AI innovation and make a real difference in 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.
Design Engineer & Senior Engineer employer: Ignitus
Contact Detail:
Ignitus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Design Engineer & Senior Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those related to AI and product engineering. This is your chance to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and showcasing your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, especially in AI and tech.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Design Engineer & Senior Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're 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 personal projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your CV and cover letter to match the job description. Highlight your experience with Python, FastAPI, and any relevant projects you've led. We love seeing how your skills align with what we're looking for!
Be Bold and Authentic: Don’t be afraid to show your personality in your application. We’re looking for risk-takers who can adjust course based on data and feedback. Share examples of how you've taken risks in your previous roles and what you learned from them.
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 keen to join our team at StudySmarter!
How to prepare for a job interview at Ignitus
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge before the interview. Be ready to discuss real-time augmentation, LLMs, and RAG pipelines in detail. Show them you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your End-to-End Ownership
Prepare examples of projects where you’ve owned features from start to finish. Talk about your product thinking, technical design, and how you’ve shipped polished experiences. This will demonstrate your capability to take charge and deliver results.
✨Be a Risk-Taker
Since they’re looking for someone who can adjust based on data and user feedback, come prepared with examples of when you’ve taken calculated risks in your projects. Highlight how those risks led to innovation or improvement.
✨Understand Their Culture
Research the company’s culture and values. They want someone who can help shape both tech and culture, so be ready to discuss how you can contribute to that. Show enthusiasm for building an AI product that genuinely helps people.