AI engineer

AI Engineer @Ignitus

📍 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 will 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.