Software Engineer II

End Date

Monday 28 September 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working

Job Description Summary

As a Software Engineer focusing on Agentic AI, you’ll play a key role in shaping how advanced AI capabilities are designed, built and adopted across the Group. You’ll work at the intersection of engineering, architecture and product to turn emerging AI patterns into secure, scalable and reliable solutions that deliver real value

Job Description

• •Experience: 3-7 years
• Location: Hyderabad
• Job Type: Full Time

Day to day, you’ll:

• •Design, build and support agentic AI applications that orchestrate workflows, decision‑making and automation across complex systems
• •Act as a technical authority for AI‑enabled applications, advising teams on architecture, integration and best practice
• •Partner with engineers, data scientists, architects and product teams to translate business problems into practical AI solutions
• •Ensure AI applications are built with security, resilience, ethics and responsible AI principles at their core
• •Support the full application lifecycle, from proof of concept through to production deployment and ongoing optimisation
• •Share knowledge and coach others, helping to grow AI capability and confidence across the wider engineering community
• •Why join us?

We’re transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.

You’ll be joining a forward‑looking technology community where you can experiment, learn and make a tangible impact, while working on some of the most interesting AI challenges in UK financial services.

What we’re looking for

Essential skills

• •Strong experience designing and supporting complex, production ‑ grade applications in modern technology environments
• •Software development experience in python or similar with good exposure to full software delivery lifecycle.
• •Hands‑on experience with AI ‑ enabled or intelligent systems , such as agent‑based workflows, orchestration layers or advanced automation
• •Solid understanding of application architecture , integration patterns and APIs
• •Experience working with cloud platforms (in particular GCP) and modern engineering practices (CI/CD, observability, reliability)
• •Ability to communicate complex technical concepts clearly to both technical and non‑technical audiences
• •And any experience of these would be great

• •Experience working with large language models (LLMs) , AI platforms or orchestration frameworks
• •Knowledge of responsible AI , model governance or risk controls
• •Background in regulated or large‑scale enterprise environments
• •Experience mentoring or leading others on technical approaches