NTT

7 hours ago

Senior AI Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Design and build AI-enabled applications for DB Intelligence, including user-facing workflows, APIs, microservices, orchestration, and data integration. Develop React/TypeScript front ends and/or Java/Spring Boot backend services, integrating structured and unstructured data sources. Contribute to AI architectures using LLM APIs, RAG, embeddings, vector search, guardrails, and evaluation pipelines while ensuring clean engineering practices, CI/CD, observability, and production readiness.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and build AI-enabled applications including user-facing workflows, APIs, microservices, orchestration components, and data integration layers.
•Develop React/TypeScript front ends with reusable components and strong API integration for explainable AI-assisted workflows.
•Build Python services for AI/ML integration, model orchestration, RAG, agentic workflows, data processing, evaluation pipelines, and automation.
•Develop and integrate Java/Spring Boot microservices to support enterprise backend capabilities, business rules, workflow orchestration, and secure service communication.
•Implement responsible AI and production practices including privacy/entitlement controls, audit logging, explainability/traceability, model output monitoring, performance tuning, resilience, and observability.

Key Requirements

•Design and build AI-enabled applications with strong engineering discipline (clean code, automated testing, CI/CD, code reviews).
•Develop front-end components and workflows with React and TypeScript, integrating APIs and delivering user experiences for explainable AI-assisted workflows.
•Build and integrate backend services using Python services for AI/ML integration, model orchestration, RAG, agentic workflows, and evaluation pipelines.
•Develop Java/Spring Boot microservices for enterprise backend capabilities, workflow orchestration, and secure service-to-service communication.
•Implement responsible AI controls such as data privacy, entitlement management, audit logging, explainability, traceability, monitoring, and human-in-the-loop review.

Skills:Design leadershipMentoringReusable engineering patternsEngineering discipline

Tech Stack:ReactTypeScriptAPI integrationMicroservicesPythonAI/MLModel orchestrationRAGAgentic workflowsLLM APIsPrompt orchestrationEmbeddingsVector searchModel evaluationGuardrailsHuman-in-the-loopJavaSpring BootCI/CDObservability

Company Brief

NTT

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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NTT