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Join us as an Senior Python GenAI Developer – AWS Bedrock & AI Platformsin Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.
Job Responsibility
Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
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
Requirements
Experience in skilled Python GenAI Developer with deep expertise in AWS Bedrock and the AWS ecosystem to design and build scalable, enterprise-grade Generative AI solutions
The role focuses on developing production-ready AI systems (RAG pipelines, AI agents, document intelligence, and automation platforms) that integrate seamlessly into business processes
Strong proficiency in Python (5+ years preferred)
Hands-on experience with AWS Bedrock and foundation models
Deep knowledge of AWS ecosystem
Experience with RAG architectures and vector databases
Experience in NLP, embeddings, semantic search, and document parsing , prompt engineering and evaluation techniques
Strong API development skills (FastAPI / Flask)
Some other highly valued skills may include: -
Experience in microservices architecture
Strong understanding of CI/CD and DevOps practices
Familiarity with containerization (Docker, Kubernetes/EKS)
You may be assessed on the 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
Nice to have
Experience in microservices architecture
Strong understanding of CI/CD and DevOps practices
Familiarity with containerization (Docker, Kubernetes/EKS)