At a Glance
- Tasks: Build innovative AI experiences and optimise the AI lifecycle for real-time user engagement.
- Company: Join a dynamic startup on a mission to revolutionise coaching access with cutting-edge AI.
- Benefits: Competitive salary, equity opportunities, hybrid work, and a chance to shape the future.
- Other info: Fast-paced environment with significant growth potential and a focus on innovation.
- Why this job: Be part of an ambitious team creating impactful AI solutions that truly help people.
- Qualifications: Expertise in modern AI stack, Python, and experience deploying AI systems in production.
The predicted salary is between 50000 - 55000 € per year.
Location: London (Hybrid – around 2 days a week in the office)
Salary: £50k to £55k, based on experience
Equity: Will be multiplied very rapidly if successful
Stage: Pre-seed / Seed (we’re already revenue generating)
About Us
Our mission? Creating equal access to coaching at work. How we make it happen? Our AI coaching platform replicates the coaching of 9 of the world’s top experts. Forget ChatGPT wrappers, AI chatbots, or clunky 3D avatars. Our multimodal platform is fuelled by the top 0.1% experts, and includes real-time advice features bringing insights from world-class coaches into the flow of work. Our latest obsession: providing every manager with expert insights, when they need it… and without asking for it! We have recently raised capital to make this become a reality. We’re early, we’re ambitious, and we’re doing something that hasn’t been done before. The kind of thing that’s equal parts exciting and terrifying — in a good way.
The Role
We’re looking for an AI Engineer with exceptional capabilities seeking to make real-time augmentation a reality. 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 finds agent architectures exciting, stays up to date with the latest LLMs and can design novel experiences. Are you a builder at heart? You understand users, and love owning features end-to-end: from product thinking and technical design to shipping polished experiences. Are you strategic? You will work directly with Ben, CEO and founder on our startup’s #1 goal: taking off and unlocking that series A round. Last but not least, this role is for risk-takers only. Don’t apply if you seek a predictable, comfortable job.
What You’ll Be Doing
- Make every individual has a unique experience of Ignitus. Hyper-customisation is key.
- Architect and optimize the end-to-end AI lifecycle, from data ingestion to inference.
- Iterate on model accuracy and retrieval performance using systematic evaluation frameworks (e.g., RAGAS, DeepEval).
- Build out our AI experiences — things like RAG pipelines, multimodal user experiences, and LLM-powered experiences that actually work in production.
- Embed Ignitus into the flow of work with low-complexity integrations.
- Experiment with the latest models, tools, and APIs to stay ahead of the curve.
- Implement AI-specific security and privacy guardrails, including PII redaction and prompt injection mitigation.
- Develop agentic workflows and advanced orchestration logic to handle complex, multi-step user tasks.
- Optimize inference latency and token costs to ensure our AI features are both snappy and sustainable.
- Keep the platform secure, stable, and scalable as we grow fast.
What You’ll Bring
- Deep technical expertise in the modern AI stack (LangChain/LlamaIndex, DSPy, or similar).
- Mastery of Python and asynchronous programming, with a focus on building high-performance AI backends.
- Experience working with LLMs, vector databases, and retrieval-augmented generation (RAG).
- Strong understanding of embedding models, rerankers, and hybrid search.
- 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.
Why This Role
You’ll be joining at take-off stage, where every one of your contributions shapes how high the company can go. You’ll get to work with cutting-edge AI tech — not just talk about it. You’ll have a lot of autonomy, trust, and influence within a small and passionate team. You’ll share the risks, and rewards - the compounding equity package will reflect that. 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.
AI engineer in City of London employer: Ignitus
At Ignitus, we pride ourselves on being an innovative employer that fosters a dynamic and collaborative work culture. As an AI Engineer in our London office, you'll enjoy the benefits of hybrid working, competitive salary, and a unique equity opportunity that grows with our success. We are committed to your professional growth, offering you the chance to work closely with our CEO and contribute directly to groundbreaking projects that redefine coaching in the workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI engineer in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI. Whether it’s GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews like it’s game day! Research the company, understand their mission, and be ready to discuss how your skills align with their goals. Practice common interview questions and think about how you can showcase your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace AI engineer in City of London
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 the latest LLMs and agent architectures. Share any personal projects or experiences that highlight your love for building innovative AI solutions.
Tailor Your Application:Make sure to customise your application to fit our mission at Ignitus. Highlight your experience with hyper-customisation and real-time augmentation. We’re looking for someone who understands users, so show us how you've designed user-centric features in the past!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points if it helps convey your skills and experiences better. Remember, we want to know what makes you a great fit for this role!
Apply Through Our Website:Don’t forget to submit your application 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, it shows you’re serious about joining our team at Ignitus!
How to prepare for a job interview at Ignitus
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and agent architectures. Be ready to discuss your hands-on experience with deploying AI systems in production and how you've tackled challenges in the past.
✨Showcase Your Building Skills
Prepare to talk about specific projects where you've owned features end-to-end. Highlight your product thinking and technical design skills, and be ready to explain how you’ve iterated on model accuracy and retrieval performance.
✨Be a Problem Solver
Expect questions that test your strategic thinking and problem-solving abilities. Think of examples where you've had to implement AI-specific security measures or optimise inference latency, and be ready to share your thought process.
✨Embrace the Startup Spirit
This role is all about risk-taking and innovation. Be prepared to discuss how you thrive in fast-paced environments and how you can contribute to shaping the culture and tech at Ignitus. Show your enthusiasm for building something groundbreaking!
