AI Engineer (Remote)

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Ignitus
ScreenedRemoteHybridJust posted
City of London, Greater London
£55,000
Posted 1 day ago
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About the role

AI Engineer @Ignitus 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. Forget ChatGPT wrappers, AI chatbots, or clunky 3D avatars. 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. 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 (e.g., 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.

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