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Date live:
Mar. 20, 2026
Business Area:
Chief Technology Office
Area of Expertise:
Technology
Reference Code:
JR-0000103435
Contract:
Permanent
Take a look at the map to see what’s nearby. Train stations & bus stops, gyms, restaurants and more.
Explore locationJoin us as a Staff Engineer-Applied AI. At Barclays, we don’t just adapt to the future, we create it. As a Staff Engineer-Applied AI you will support the organisation, achieve its strategic objectives by the identification of business requirements and solutions that address business problems and opportunities.
Key Responsibilities
Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains.
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols.
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems.
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times.
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards.
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
Analyze and interpret data to evaluate model performance and identify areas of improvement.
To be a successful Staff Engineer-Applied AI, you should have experience with
A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline.
Experience in developing software applications for scale on cloud(AWS or Azure or GCP). Fluent in Python or Java or GoLang programming language and frameworks.
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.. Familiarity on working with MCP and A2A protocols.
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents.
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI.
Strong understanding of AI implementation in software development and legacy code transformation.
Experience in developing APIs and integrating LLM models into software applications.
Ability to work on system design from ideation through completion with limited supervision. Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner.
Additional relevant skills given below are highly valued
Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning.
Knowledge of banking, financial products and services.
This role is based in Bangalore.
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
Vice President Expectations
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.