At a Glance
- Tasks: Build innovative AI solutions that enhance user learning experiences and optimise AI lifecycles.
- Company: Join a pioneering AI coaching platform transforming how people learn.
- Benefits: Competitive salary, equity package, remote work, and a chance to shape tech and culture.
- Other info: Dynamic, risk-taking environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact on users' learning journeys.
- Qualifications: Expertise in AI, Python, and modern AI stacks; experience with LLMs and cloud infrastructure.
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
Our AI coaching platform replicates the coaching of 9 of the world’s top experts. 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. You understand users, and love owning features end-to-end: from product thinking and technical design to shipping polished experiences.
Last but not least, this role is for risk-takers only. 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.
- Build out our AI experiences — things like RAG pipelines, multimodal user experiences, and LLM-powered experiences that actually work in production.
- Implement AI-specific security and privacy guardrails, including PII redaction and prompt injection mitigation.
- Optimize inference latency and token costs to ensure our AI features are both snappy and sustainable.
- 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.
You’ll get to work with cutting-edge AI tech — not just talk about it. 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 (Remote) in London employer: Ignitus
At Ignitus, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture, where AI Engineers can thrive. With a hybrid working model in London, we offer competitive salaries, equity packages, and the opportunity to work with cutting-edge technology while contributing to a meaningful product that enhances learning experiences. Our commitment to employee growth and a supportive environment makes us an excellent choice for those looking to make a real impact in the AI field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, 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 showcasing your AI projects, especially those that highlight your experience with LLMs and RAG pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python and asynchronous programming, as well as how you've tackled challenges in past projects.
✨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 proactive about their job search!
We think you need these skills to ace AI Engineer (Remote) in 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 building innovative solutions and making a real impact in the field. Share any personal projects or experiences that highlight your love for AI.
Tailor Your Application:Make sure to customise your CV and cover letter to match the job description. Highlight your experience with LLMs, Python, and any relevant projects you've worked on. We appreciate candidates who take the time to align their skills with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We’re busy folks, so make it easy for us to see your qualifications and experiences. Use bullet points where possible and avoid jargon unless it’s relevant to the role.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. 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 the latest advancements in AI, especially around LLMs and agent architectures. Be ready to discuss your hands-on experience with deploying AI systems and how you've tackled challenges in production.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised AI processes or improved model accuracy. Think about specific projects where you’ve implemented RAG pipelines or enhanced user experiences, and be ready to dive into the details.
✨Understand the User Perspective
Since this role is all about creating user-centric AI experiences, come equipped with insights on how users interact with AI tools. Share your thoughts on what makes an engaging learning tool and how tech can facilitate that.
✨Be Ready to Take Risks
This position is for risk-takers, so don’t shy away from discussing bold ideas or innovative approaches you've taken in past projects. Show that you're not afraid to push boundaries and think outside the box when it comes to AI solutions.
