Applied - AI Engineer

Join Barclays as an Applied - AI Engineer role, where you will build and deliver AI/ML features for our enterprise AI capabilities. Working within an experienced engineering team, you will develop agentic AI solutions, implement LLM-powered applications, and contribute to building secure, scalable AI systems that serve thousands of colleagues across the organisation. This is a hands-on engineering role with significant growth opportunity in GenAI, agentic AI, and applied machine learning. At Barclays, we don't just anticipate the future - we're creating it. To be successful in this role, you should have below skills: Bachelor's degree (or above) in Computer Science, Engineering, Mathematics, or related discipline 3+ years software engineering experience developing applications at scale on cloud platforms (AWS, Azure, or GCP) Proficiency in Python (preferred) or Java/Go with experience building REST APIs, working with async frameworks, and writing clean, testable code Experience with GenAI/LLM systems calling LLM APIs, building prompts, implementing RAG patterns, or working with embedding models Working experience with at least one agentic AI framework (Strands, LangGraph, or Google ADK) and familiarity with MCP and A2A protocols Experience with AWS services EC2/EKS, S3, IAM, RDS, and at least one AI service (Bedrock, SageMaker) Hands-on experience with Docker and Kubernetes containerising applications and deploying to orchestrated environments Experience with CI/CD pipelines and version control (Git/GitLab) understanding of automated build, test, and deployment workflows Solid understanding of REST API design, JSON/gRPC, and integration patterns Good problem-solving skills with ability to work independently and deliver to specifications; clear written and verbal communication Some other highly valued skills may include below: Experience with vector databases, semantic search, or embedding-based retrieval systems Experience with observability tools OpenTelemetry, structured logging, or distributed tracing Understanding of AI safety concepts prompt injection risks, PII handling, content filtering, toxicity detection Experience implementing evaluation pipelines for LLM or agentic systems (benchmarking, regression detection) Knowledge of AI security frameworks NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10 Experience with Infrastructure-as-Code (CloudFormation, Terraform) and GitOps workflows Familiarity with model fine-tuning or training techniques (supervised learning, LoRA) Understanding of context management and memory systems for stateful AI agents Knowledge of banking, financial products, and services Understanding of OAuth2/OIDC identity flows and JWT token handling 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. This role is based in Bengaluru and Pune office. 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 organizations 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. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.Requires in-depth technical knowledge and experience in their assigned area of expertiseThorough understanding of the underlying principles and concepts within the area of expertiseThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.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 .