Senior Software Engineer (AI products)

Role overview

Workplace and schedule

• Hybrid working across Epsom, Surrey and Barbican, London, with one office day per week.
• Permanent, full-time role at 37.5 hours per week.

Responsibilities

• Build digital products, AI-powered features, agents, and automated workflows for priority business challenges.
• Rapidly validate ideas with stakeholders using AI-prototyped products and solutions.
• Use AI-assisted tools through discovery, prototyping, testing, deployment, monitoring, and ongoing support.
• Build and maintain CI/CD pipelines and cloud deployment automation; productionize prototypes as secure, maintainable internal applications.
• Champion effective AI use to improve engineering productivity and accelerate delivery.

Required experience and skills

• Translate loosely defined business challenges into working digital products through stakeholder collaboration and rapid iteration.
• Strong stakeholder collaboration and management skills, product judgment, and practical delivery focus.
• Experience with AI-assisted development tools such as Claude to create prototypes, proofs of concept, and production-ready solutions while maintaining quality, security, and maintainability.
• Develop modern web applications, dashboards, APIs, and internal tools using JavaScript, Java, or Python and frameworks such as React.
• Full-stack engineering across frontend, backend services, data, and integrations; cloud deployment, operations, and support.
• Implement CI/CD, infrastructure as code, deployment automation, monitoring, alerting, logging, and observability.
• Design and consume APIs; integrate internal and third-party data; apply architecture, security, performance, scalability, and resilience principles.
• Evaluate emerging AI technologies to improve engineering productivity and business outcomes.

Desirable skills and experience

• Experience building dashboards, reporting platforms, commercial or analytics products, or operational tooling is desirable.
• Azure services, including App Services, Functions, Storage, and managed databases, are desirable.
• Relational and non-relational databases, data engineering, machine learning, LLMs, event-driven architectures, messaging platforms, and systems integration are desirable.
• Experience in healthcare, fitness, retail, digital, or other customer-facing environments is desirable.

Benefits and development

• Offers varied work across Nuffield Health digital systems and responsibility to develop ideas and solutions.
• Engineers contribute to engineering standards and practices and can access self-learning, mentoring, and training courses.
• Benefits include gym membership, health assessments, retail discounts, and pension options.