AI Engineer responsible for designing and developing software solutions in the Corporate Bank AI Team at Barclays. Utilizing various engineering methodologies to provide technology capabilities for customers and colleagues.
Responsibilities
To design, develop and improve software, utilising various engineering methodologies
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
Promotion of a culture of code quality and knowledge sharing
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
Requirements
Strong proficiency in Python and modern AI engineering frameworks (e.g., LangChain, LangGraph, HuggingFace)
Hands‑on experience delivering end‑to‑end MLOps / LLMOps, covering model lifecycle management, evaluation, monitoring, and CI/CD automation
Practical experience designing and implementing Retrieval‑Augmented Generation (RAG) solutions, including embeddings, chunking strategies, retrieval pipelines, and safety/guardrail mechanisms
Proven track record of delivering production‑grade, full‑stack AI applications, with end‑to‑end responsibility across backend, APIs, and modern front‑end frameworks (e.g., React)
Experience building, deploying, and operating AI solutions on AWS, leveraging services such as Bedrock, SageMaker, Lambda, API Gateway, and vector‑enabled data stores (e.g., OpenSearch, pgvector)
Exposure to agentic AI patterns, workflow orchestration, and multi‑step reasoning systems in production environments
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