AI Engineer

AI Engineer | London (Hybrid – 2 Days per Week) | Equity AvailableWe're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.The OpportunityAs an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products.You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.What You'll Be Working OnBuilding and deploying AI-powered products and intelligent agent workflowsDeveloping and optimising LLM applications for production environmentsDesigning agentic systems capable of complex reasoning and task executionExperimenting with prompt engineering, context management, evaluation frameworks, and model orchestrationRunning user experiments and A/B testing to improve model performance and user experienceWorking closely with Product and Engineering teams to rapidly ship new featuresExploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystemTech Stack & ExperienceKey technologies include:PythonTypeScript / JavaScriptLangGraphLangChainOpenAI APIsAnthropic APIsVector DatabasesRAG ArchitecturesAgentic AI FrameworksLLM Evaluation & Observability ToolsReact (desirable)Cloud Platforms (AWS, GCP or Azure)We're Looking For People WhoHave 4+ years’ experience building and deploying AI applications into productionHave worked with LLMs, AI agents, RAG systems, or generative AI productsThrive in fast-paced startup environmentsEnjoy solving complex technical challenges with a product-first mindsetAre comfortable working with ambiguity and taking ownershipHave experience in a high-growth startup that has scaled through Seed → Series A or Series A → Series B fundingAre passionate about the future of AI and excited by the pace of innovation in the marketThank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.