AI Engineer

Skip to main content AI Engineer hackajob London, England, United Kingdom Apply Join or sign in to find your next job Join to apply for the AI Engineer role at hackajob Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. AI Engineer hackajob London, England, United Kingdom 5 days ago 78 applicants See who hackajob has hired for this role Apply Join or sign in to find your next job Join to apply for the AI Engineer role at hackajob Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job hackajob is collaborating with TradingHub to connect them with exceptional professionals for this role.Compensation: Competitive (Financial Services)About TradingHubFounded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.The RoleWe are hiring a hands-on AI Engineer to own the design and delivery of a customer‑facing compiler and interface that allows users to performance financial markets analytics via natural language. Working as part of our Web team, the ideal candidate will hold working knowledge of LLMs and AI agents and some level of familiarity with web frameworks.ResponsibilitiesOwn the end‑to‑end design and implementation of a customer‑facing AI capability integrated into our trade surveillance platformsBuild and evolve a multi‑layered AI agent capable of interpreting natural‑language user queries and consulting documentation to generate appropriate responsesEnsure generated results are presented clearly to users as well as the reasoning behind decisionsIntegrate AWS Bedrock with our web backend to support LLM‑driven reasoning and workflowsDevelop frontend components to surface AI outputs, user prompts, and confirmation flows for AI‑initiated actionsWork closely with cross-functional stakeholders e.g. product to ensure solutions are robust, explainable, secure and scalableRequirementsFull stack software engineering experience with a strong track record of building and owning complex, production systemsDemonstrated experience designing and delivering AI‑powered features that solve real customer problemsDeep familiarity with LLMs, AI...