Staff Engineer-Applied AI

Barclays – Staff Engineer, Applied AI

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 models’ (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.

Requirements

• 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, participation in code reviews, and promoting 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.