components and data integration layers.

Develop contemporary 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.

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.

📌 Senior Ai Engineer (Bengaluru)
🏢 NTT
📍 Bengaluru