Software Engineer – AI - London / Hybrid (UK-based)A high-growth, FinTech company is building intelligent, data-driven products to support businesses and consumers at scale across the UK and US. The organisation operates cloud-native platforms used by a large and diverse customer base and is continuing to invest heavily in AI-enabled capabilities across its core products.Role 👋This role sits within a product-led engineering team focused on applying AI and Generative AI to real-world business problems. You’ll work on large-scale systems where impact is measured by outcomes, not output.You will:Design and engineer large-scale, production-grade systems (5+ years’ experience)Focus on business impact rather than lines of codeEmbrace DevOps culture: you build it, you run itWork effectively in cross-functional, autonomous teamsMentor other engineers and help raise the bar across the teamPrefer simple, pragmatic solutions over unnecessary complexityStay effective and organised in fast-moving, ambiguous environmentsThink broadly about how technical decisions affect the wider businessLeverage Generative AI tools to improve productivity and decision-makingNice-to-Have Skills 🌟Experience building AI or LLM-powered applicationsKnowledge of NLP or intelligent document processingFamiliarity with vector databases (e.g. Pinecone, Weaviate)Experience with search platforms (e.g. OpenSearch, Elasticsearch)Exposure to agentic workflows or orchestration frameworksAwareness of MCP (Model Context Protocol)The team is pragmatic and cloud-native. Current tooling includes:Languages: Python, TypeScriptTesting: Jest, React Testing Library, Cypress, pytestCloud: AWS, GCPInfrastructure: Docker, ECS Fargate, TerraformCI/CD: GitHub ActionsCollaborate: Pair programming and mission-driven squadsOutcome-focused: Solve real user problems tied to business resultsContinuously improve: Fast feedback, learning-first mindsetUser-centric: Decisions driven by data and direct user insightTest-first: Outside-in testing with behaviour-focused scenariosEnd-to-end ownership: Lead features from idea to productionCloud-native: Automation-first, security by designYou’ll be part of an inclusive engineering culture that values:Diverse perspectives and open discussionPsychological safety and trustTeams that are engaged, motivated, and genuinely enjoy working togetherWhat’s on Offer 😍Hybrid working: Flexible, trust-based approach with optional in-person collaborationWork–life balance: 25 days holiday + bank holidays, enhanced family leaveCompensation: Competitive salary plus equityEquipment: High-spec laptop (macOS or Ubuntu)Socials: Regular team and company eventsBenefits: Cycle-to-work scheme and EV support #J-18808-Ljbffr