Senior AI Engineer

Design and build AI-enabled applications for DB Intelligence, including user-facing workflows, APIs, microservices, orchestration   components and data integration layers.  Develop modern React / TypeScript front ends with reusable components, strong API integration and user experiences that   support explainable AI-assisted workflows or  Build Python services for AI/ML integration, model orchestration, RAG, agentic workflows, data processing, evaluation pipelines   and automation or  Develop and integrate Java / Spring Boot microservices for enterprise backend capabilities, business rules, workflow   orchestration and secure service-to-service communication.  Work with structured and unstructured data sources, including internal systems, documents, market/event data, portfolio data and   enterprise knowledge sources.  Contribute to AI architectures using LLM APIs, prompt orchestration, embeddings, vector search, RAG, model evaluation,   guardrails and human-in-the-loop review.  Engineer solutions that support scenario analysis, event-driven intelligence, impact assessment, portfolio/risk insight generation   and decision support.  Apply strong engineering discipline: clean code, automated testing, CI/CD, code reviews, observability, performance tuning,   resilience and production support readiness.  Implement controls for data privacy, entitlement management, audit logging, explainability, traceability, model output monitoring   and responsible AI usage.  Provide senior technical contribution, design leadership, mentoring and reusable engineering patterns across the programme.