Job Title

Lead GenAI Engineer - Generative AI Hybrid London (12 days/week onsite) Up to 140k + Equity + BenefitsAre you the right applicant for this opportunity Find out by reading through the role overview below.Were hiring a Lead GenAI Engineer within a high-growth fintech/data intelligence scaleup. This is a hybrid role that combines hands-on technical expertise with line management and team development. You will mentor a young, high-performing engineering group while driving the architecture, delivery, and evolution of our GenAI-powered products.Youll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features.Key ResponsibilitiesLeadership & Team DevelopmentManage and grow a small team of AI Engineers (starting with 23, scaling to ~5).Act as a playercoach, remaining hands-on while mentoring, unblocking, and developing engineers.Establish engineering best practices, delivery processes, and a high-performance team culture.Technical OwnershipLead architecture and development of LLM-powered and agentic applications, including RAG systems, chat/workflow agents, and domain-specific AI services.Drive technical direction with sound judgement and pragmatic decision-making.Build and deploy production-grade GenAI systems end to end: prototyping integration deployment monitoring.Write and review high-quality Python code; ensure engineering standards are upheld across the team.Cross-Functional CollaborationWork closely with backend, frontend, and product engineering teams to integrate GenAI capabilities.Key RequirementsDemonstrated line management experience leading small teams (25 engineers).Strong hands-on experience shipping real GenAI/LLM systems into production.Deep expertise in:LLMs & transformer-based modelsAgentic frameworks (e.g., LangChain, LangGraph)Retrieval-Augmented Generation (RAG)PythonBuilding or integrating LLMs into products or workflowsWorking with GenAI frameworks and toolingDesigning or optimising prompt pipelinesDeploying or supporting GenAI features in productionComfortable balancing leadership responsibilities with hands-on engineering early on.Strong communication skills and ability to guide productengineering discussions.Nice to HavesExperience building agentic workflows, multi-agent systems, or autonomous LLM tools.Fintech domain exposure (not essential).This position do not provide visa sponsorship and require existing right to work in the UK.Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.If your skillset matched, please apply within. xjdpvnf Remote working/work at home options are available for this role.