1 week ago

AI Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build and industrialize AI-enabled, production-grade applications for a banking AI program, translating complex business problems into reliable, explainable, secure, and observable solutions. Work across full-stack engineering, data integration, and AI/ML services—designing user-facing workflows, APIs, microservices, and RAG/agentic components. Collaborate with product, data science, quants, risk, security/compliance, and stakeholders to deliver scenario analysis and decision support aligned to enterprise standards.

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, strong API integration, and UI experiences supporting explainable AI-assisted workflows.
•Build Python services to support AI/ML integration, model orchestration, RAG/agentic workflows, data processing, evaluation pipelines, and automation.
•Develop and integrate Java/Spring Boot microservices for backend capabilities, business rules, workflow orchestration, and secure service-to-service communication.
•Apply engineering discipline for production readiness: clean code, automated testing, CI/CD, code reviews, observability, resilience, and production support readiness.

Key Requirements

•Significant hands-on software engineering experience delivering AI/data/analytics/decision-support platforms in production environments.
•Strong React and modern front-end engineering experience using TypeScript/JavaScript, state management, and reusable UI components.
•Strong Python engineering experience, ideally with FastAPI/Flask, Pandas, data pipelines, AI/ML libraries, and LLM integration for evaluation/automation.
•Strong Java engineering experience, preferably with Spring Boot, REST APIs, microservices, and event-driven architectures with resilience and enterprise integration patterns.
•Practical GenAI experience (LLM APIs, prompt engineering, embeddings, vector search, RAG, agent workflows, guardrails) plus knowledge of secure engineering and enterprise data/API integrations.

Experience:Financial servicesBanking

Skills:OwnershipPragmatic problem solvingCollaborationCommunicationMentoring

Tech Stack:ReactTypeScriptJavaScriptPythonFastAPIFlaskPandasJavaSpring BootREST APIsMicroservicesSQLPostgreSQLKubernetesDockerTerraformHelmGitHub ActionsGitLab CIJenkins

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

Loading job details...

Preparing the role view and application actions.

NTT