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- Tasks: Lead innovative AI projects and create user-centric features from start to finish.
- 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 transforming how people learn.
- Why this job: Be part of building the first-ever learning tool with 100% active users.
- 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 (and counting!).
- 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 in City of London employer: Ignitus
Contact Detail:
Ignitus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Design Engineer & Senior Engineer in City of London
✨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. Make sure it’s easy to access and share when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and showcasing your problem-solving skills. Be ready to discuss how you’ve used data and user feedback to drive product decisions in the past.
✨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, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Design Engineer & Senior Engineer in City of London
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 application to reflect the specific skills and experiences mentioned in the job description. Highlight your expertise in Python, FastAPI, and any hands-on experience with LLMs or RAG pipelines. This shows us you’ve done your homework!
Be Authentic: We love genuine personalities! Don’t be afraid to let your unique voice come through in your application. Share your journey, your challenges, and what drives you in the tech world. We’re looking for risk-takers who can think outside the box!
Apply Through Our Website: To make sure your application gets into our hands, apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Ignitus
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, 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 Mindset
Prepare examples that highlight your understanding of user needs and how you've owned features from concept to delivery. Think about times when you’ve adjusted your approach based on user feedback and data—this will show you’re not just a techie but also a problem solver.
✨Demonstrate Leadership Potential
Since they’re looking for someone who can grow into a senior leadership role, be ready to talk about your experience leading technical projects or teams. Share specific instances where you took the lead, made decisions, and how you managed risks effectively.
✨Get Familiar with Cloud Infrastructure
Brush up on your knowledge of cloud platforms like Azure, AWS, or GCP. Be prepared to discuss how you’ve leveraged these technologies in past projects, especially in relation to data security and IT audits, as this is crucial for the role.