Software Engineer - AI

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 code Embrace DevOps culture: you build it, you run it Work effectively in cross-functional, autonomous teams Mentor other engineers and help raise the bar across the team Prefer simple, pragmatic solutions over unnecessary complexity Stay effective and organised in fast-moving, ambiguous environments Think broadly about how technical decisions affect the wider business Leverage Generative AI tools to improve productivity and decision-making Nice-to-Have Skills Experience building AI or LLM-powered applications Knowledge of NLP or intelligent document processing Familiarity with vector databases (e.g.

Pinecone, Weaviate) Experience with search platforms (e.g. OpenSearch, Elasticsearch) Exposure to agentic workflows or orchestration frameworks Awareness of MCP (Model Context Protocol) The team is pragmatic and cloud-native.

Current tooling includes: Languages: Python, TypeScript Testing: Jest, React Testing Library, Cypress, pytest Cloud: AWS, GCP Infrastructure: Docker, ECS Fargate, Terraform CI/CD: GitHub Actions Collaborate: Pair programming and mission-driven squads Outcome-focused: Solve real user problems tied to business results Continuously improve: Fast feedback, learning-first mindset User-centric: Decisions driven by data and direct user insight Test-first: Outside-in testing with behaviour-focused scenarios End-to-end ownership: Lead features from idea to production Cloud-native: Automation-first, security by design You'll be part of an inclusive engineering culture that values: Diverse perspectives and open discussion Psychological safety and trust Teams that are engaged, motivated, and genuinely enjoy working together What's on Offer Hybrid working: Flexible, trust-based approach with optional in-person collaboration Work–life balance: 25 days holiday + bank holidays, enhanced family leave Compensation: Competitive salary plus equity Equipment: High-spec laptop (macOS or Ubuntu) Socials: Regular team and company events

Benefits

Cycle-to-work scheme and EV support

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