Software Engineer Agentic AI

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Barclays

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Kubernetes NumPy Sprint Keras PyTorch Pandas CI Docker AWS TensorFlow GitLab Strategy Intellij

Job Description

Join us as a Software Engineer Agentic AI at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. The ideal candidate will have deep expertise in cloud-native technologies, distributed streaming platforms, Kubernetes orchestration, and multi-region architecture patterns.

To be a successful as Software Engineer Agentic AI you should have experience with:


  • Lead the design and development of agentic AI systems, leveraging modern frameworks such as LangChain, LangGraph, CrewAI, and similar orchestration libraries to build autonomous, goal‑driven AI workflows.
  • Drive hands‑on development of multi‑agent systems, including agent collaboration, task delegation, memory management, and tool integration patterns.
  • Act as a hands‑on expert in Python‑based AI/ML development, using industry‑standard libraries such as NumPy, Pandas, Scikit‑learn, TensorFlow, PyTorch, Keras, and associated tooling.
  • Apply strong fundamentals in machine learning, deep learning, and data processing, ensuring models and agents are explainable, testable, and maintainable.
  • Guide teams on model lifecycle management, inference optimisation, and production readiness of AI solutions.
  • Lead integration of Large Language Models (LLMs) into enterprise systems, including prompt engineering, tool‑calling, retrieval‑augmented generation (RAG), and agent reasoning strategies.
  • Ensure AI solutions align with responsible AI principles, data privacy, security, and regulatory expectations.
  • Evaluate and influence adoption of latest AI innovations, including Speculative AI techniques, reasoning‑augmented agents, and hybrid symbolic‑LLM approaches.
  • Champion modern AI‑assisted engineering practices, including familiarity with tools such as Claude Code, GitHub Copilot, and similar coding assistants, to improve developer productivity and code quality.
  • Set standards for engineering quality, testing, observability, and operational readiness in AI‑driven systems.
  • Experience working in cloud environments, with hands‑on exposure to AWS Bedrock or similar managed AI platforms.
  • Deliver software using Agile methodologies, actively participating in sprint planning, reviews, retrospectives, and continuous improvement.
  • Apply DORA metrics (deployment frequency, lead time for change, change failure rate, MTTR) to drive delivery predictability and engineering health.
  • Strong familiarity with modern developer tooling including GitLab, DevSecOps pipelines, and secure CI/CD practices.
  • Hands‑on experience with: Docker Desktop for local containerized development, IntelliJ IDEA or equivalent enterprise IDEs and Secure source control, branching strategies, and automated quality gates
  • Drive a test‑first, quality‑driven engineering culture, with hands‑on experience in – Contract Testing (PACT), Unit Testing (Junit), Performance and Load testing (Jmeter), Mutation Testing.


Some Other Highly Valued Skills May Include


  • Contributes as an Individual Contributor (ICE) in the delivery of agentic AI solutions, owning end‑to‑end technical implementation of autonomous and multi‑agent systems, including design, development, integration, testing, and production readiness, while operating with minimal supervision and strong engineering accountability.
  • Work effectively within Agile/Scrum delivery models, using Jira for backlog management, delivery tracking, and sprint execution.
  • Apply strong analytical and troubleshooting skills to diagnose and resolve complex issues in distributed, event‑driven systems.
  • Demonstrate excellent verbal and written communication, producing clear architecture designs, decision records, and technical documentation.
  • Collaborate closely with cross‑functional teams (engineering, DevOps, security, architecture) to deliver integrated, enterprise‑ready solutions.
  • Exhibit strong ownership, self‑drive, and innovation mindset, staying current with cloud‑native technologies and modern engineering best practices.


You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based out of Bengaluru.

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.

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