Senior Full Stack Engineer, AI Systems

Murray McIntosh Recruitment Consultancy

Greater London

On-site

GBP 90,000 - 120,000

Full time

39 hours ago
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Job summary

Murray McIntosh Recruitment Consultancy seeks a Senior Software Engineer to shape internal systems, automation, and AI-enabled workflows within a technology-driven financial services environment.

You will join a growth‑oriented tech team delivering production systems, backend services and modern web apps, while incorporating AI approaches to drive efficiency and business outcomes.

Qualifications

  • Experience delivering production-grade systems.
  • Strong grounding in modern AI-enabled engineering practices.
  • Ability to partner with non-technical stakeholders to define requirements.

Responsibilities

  • Design, build and maintain business-critical internal applications and platforms.
  • Develop AI-enabled tools to improve operational efficiency and decision-making.
  • Build scalable backend services and modern web applications.
  • Collaborate with operational, product and business stakeholders to identify automation opportunities.
  • Integrate internal and external systems via APIs and data services.
  • Contribute to architectural decisions and long-term technology strategy.
  • Champion AI-assisted development workflows.

Skills

Full-stack development
AI-enabled engineering
Production systems
Stakeholder communication

Tools

Python
JavaScript/TypeScript
React
SQL
Azure
Containerisation
APIs

Job description

A highly successful, technology-enabled financial services business is seeking a Senior Software Engineer to help shape the next generation of its internal systems, automation capabilities, and AI-enabled workflows.

This is an opportunity to join a growing technology team at a business where software directly influences operational performance, decision making, and customer outcomes.

We're looking for an engineer with strong full-stack development experience who has embraced modern AI-enabled engineering practices. You will combine solid software engineering fundamentals with practical experience applying AI to solve business problems, streamline processes and improve how teams work.

This role offers significant autonomy, direct business exposure and the opportunity to influence both technology direction and development standards across a complex operational environment.

Key Responsibilities:
  • Design, build and maintain business-critical internal applications and platforms.
  • Develop AI-enabled tools that improve operational efficiency and decision-making.
  • Build scalable backend services and modern web applications.
  • Work closely with operational, product and business stakeholders to identify opportunities for automation and optimisation.
  • Integrate internal and external systems through APIs and data services.
  • Contribute to architectural decisions and long-term technology strategy.
  • Champion modern engineering practices, including AI-assisted development workflows.
Technology Environment- The successful candidate is likely to have experience across:
  • Python
  • JavaScript / TypeScript
  • React
  • SQL
  • Cloud platforms (Azure preferred)
  • Containerised applications
  • API integrations
  • Modern AI development tools and frameworks
You will be:
  • A strong software engineer with experience delivering production systems.
  • Comfortable working across both frontend and backend development.
  • Experienced in leveraging AI to accelerate development and solve real business challenges.
  • Commercially aware and able to engage directly with non-technical stakeholders.
  • Curious, adaptable and excited by emerging technologies.
Particularly Relevant Experience
  • Financial services or other regulated sectors.
  • Workflow automation.
  • Internal business systems.
  • Data-driven product development.
  • AI-enabled applications and operational tooling.

This isn't an environment where requirements are passed down through layers of management.

You'll work directly with decision-makers, own technical solutions from concept to deployment, and help define how AI is used across a growing organisation

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