Senior GenAI App Engineer – Enterprise-Grade Production AI

ntt singapore pte. ltd.; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

A senior-level role at a leading bank in Asia, focusing on building and delivering production-grade GenAI applications that integrate with enterprise systems.

The role requires hands-on experience with GenAI frameworks, API integrations and end-to-end production deployment. You will develop scalable pipelines, ensure security and observability, and collaborate with cross-functional teams to deliver enterprise-grade GenAI solutions.

Qualifications

• 5+ years of software engineering, application development or closely related technical experience.
• Recent hands-on experience designing and building Generative AI applications.
• Proven experience delivering production-grade GenAI applications—not only demos or POCs.
• Strong practical experience with LangGraph, LangChain or comparable LLM orchestration frameworks.
• Hands-on experience with RAG, agentic workflows, tool calling, prompt orchestration and context management.
• Experience integrating LLMs with real applications through APIs, backend services and enterprise data sources.
• Strong backend engineering skills using Python, Java or similar languages.

Responsibilities

• Design, develop and enhance production-grade Generative AI applications.
• Build GenAI solutions using LangGraph, LangChain or comparable orchestration frameworks.
• Develop retrieval-augmented generation pipelines, agentic workflows, tool-calling capabilities, prompt orchestration and context-management solutions.
• Integrate hosted and open-weight large language models into enterprise applications.
• Connect GenAI applications with APIs, backend services, databases and enterprise data sources.
• Build reliable backend services using Python, Java or comparable programming languages.
• Design and implement model-routing, retrieval, caching, conversation-state and fallback mechanisms.
• Establish application logging, tracing, monitoring, evaluation and troubleshooting capabilities.
• Develop automated evaluation frameworks to measure retrieval quality, response accuracy, reliability and performance.
• Deploy and operate GenAI workloads within Kubernetes, OpenShift or similar containerised environments.
• Apply appropriate security, access-control and data-protection measures to enterprise AI solutions.
• Troubleshoot complex application, model, integration and infrastructure issues.
• Write clean, maintainable, reusable and testable production code.
• Review technical designs and propose practical improvements.
• Collaborate with business, application, data, platform, infrastructure, architecture and cybersecurity teams.
• Support applications through development, testing, deployment, production stabilisation and continuous improvement.

Skills

GenAI development

Backend development

API integration

Observability

CI/CD

Tools

LangGraph

LangChain

Docker

Kubernetes

OpenShift

REST APIs

Job description

A senior-level role at a leading bank in Asia, focusing on building and delivering production-grade GenAI applications that integrate with enterprise systems.

The role requires hands-on experience with GenAI frameworks, API integrations and end-to-end production deployment. You will develop scalable pipelines, ensure security and observability, and collaborate with cross-functional teams to deliver enterprise-grade GenAI solutions.