AI Software Engineer

Barclays Capital; Manchester; Presencial; GBP 70.000 - 100.000; Jornada completa

Descripción de la vacante

Barclays Capital in the United Kingdom is seeking an AI Software Engineer to design, develop and improve software, integrating advanced AI capabilities into enterprise systems.

You will work with product managers and engineers to deliver scalable, secure solutions, implement RAG, memory, prompt design, and governance controls; lead code reviews and promote technical excellence. Stay updated on AI trends and industry best practices to deliver high-impact business outcomes.

Formación

• Good understanding of Generative AI and Agentic AI, with sound judgement on when deterministic software is better.
• Experience with context engineering, including retrieval-augmented generation (RAG), grounding, memory, prompt design and controlled access.
• Experience building AI agents and agentic workflows, including task decomposition and orchestration.
• Experience using AI-assisted development tools and coding agents as a core part of development.

Responsabilidades

• Develop scalable software solutions by applying industry programming languages, frameworks and tools.
• Collaboration with product managers, designers and engineers to define requirements and ensure alignment with business objectives.
• Participate in code reviews and promote a culture of code quality and knowledge sharing.

Conocimientos

Generative AI

Agentic AI

Context engineering

RAG

Prompt design

Knowledge management

Tool integration

Herramientas

MCP protocol

Descripción del empleo

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.

Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes

If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.

Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.

Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

Take ownership for managing risk and strengthening controls in relation to the work done.

Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.

Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Barclays as an AI Software Engineer and help build the next generation of intelligent applications and platforms. You will develop scalable software solutions, integrate advanced AI capabilities into enterprise systems, and collaborate with engineering teams to solve complex technical challenges that deliver meaningful business impact.

To be successful as an AI Software Engineer, you should have experience with:

• Good understanding of Generative AI and Agentic AI, including their capabilities, limitations and failure modes, with sound judgement on when deterministic software is the better solution
• Experience with context engineering, including retrieval-augmented generation (RAG), grounding, knowledge sources, memory, prompt design and controlled access to information.
• Experience building AI agents and agentic workflows, including task decomposition, orchestration, state management, tool integration through protocols such as MCP and human approval controls.
• Experience using AI-assisted development tools and coding agents as a core pa