AI Software Engineer

You will operate as an orchestrator of AI coding agents within a human-owned engineering pipeline, accountable for everything that reaches production.

• The Engineering Harness: Initially working with a small-project team, build and maintain the shared conventions and guardrails that make agents safe and useful. Keep the team’s single source of truth intact and continuously design out recurring failures.

• Agent Orchestration & Delivery: Ship production software by directing AI coding agents, owning the merged result end-to-end.
• Quality, Review & Verification: Ensure agent-generated code meets acceptable standards and architectural decisions by applying strong testing discipline including TDD.
• AI & Product Capabilities: engineer AI and agent features into the product.
• A Human Agent for Change: working collaboratively with engineers and product teams to solve problems and align on best practice, documenting decisions throughout. Influencing our next generation of engineers and mentoring on AI practices, experiences and outcomes to raise the bar on quality and outcomes.

You will combine deep software engineering experience, excellent judgment and a demonstrable interest in AI to help shape the way we build our next generation of products. Initially working in a small, focused team, you will help lead and progress the development of our foundational AI-native / AI-first engineering approach, embedding and amplifying the power of AI to build and deliver sophisticated planned and future products., * 10+ years or equivalent experience in software development.

• Proven experience in either NodeJS (TypeScript) or Python
• At least 2+ years experience with React or a similar frontend framework.
• Hands-on experience shipping production code with AI coding agents or assistants (e.g. Claude Code, Cursor or equivalent).
• Experience integrating LLMs or building agentic / AI features into a product (desirable).
• Experience in a regulated or financial-services environment (desirable)., * Orchestrating AI coding agents: task decomposition, context and prompt engineering, defining acceptance criteria and stop conditions.
• Rigorous review and verification of AI-generated code, backed by strong testing discipline (TDD, plus performance and security testing). Knowing when to keep a human in the loop.
• Advanced modern JavaScript / TypeScript, NodeJS and React.
• Web development principles (REST, SPA…).
• Microservice architecture, AWS and DevOps.
• Building LLM-powered features: tool-calling, retrieval-augmented generation (RAG), evaluation / eval harnesses and observability (desirable).
• Familiarity with model-agnostic tooling and routing, e.g. a proxy / gateway layer (desirable).
• Agile manifesto and SCRUM.
• Advanced written and verbal communication.
• Passion for delivering high-quality software and a positive approach to continuous improvement.

Education / Professional Qualifications

Computer Science or Science-based degree