Vice President, GT-DPP, Shared Service Interface MY (Senior Software Engineer - AI Solutions)

CIMB Group Malaysia; Malaysia; Sur place; MYR 180 000 - 300 000; Plein temps

Résumé du poste

CIMB Group Malaysia is seeking a Senior Software Engineer to design, develop, and deliver enterprise-grade AI solutions for banking domains. You will work on conversational AI, RAG platforms, AI agents, intelligent document processing, workflow automation and enterprise integrations, collaborating with Solution Architects and Tech Leads.

You will build scalable, secure, production-ready applications using modern cloud and AI tech, implement CI/CD, containers, and Kubernetes, and ensure robust

Qualifications

• Bachelor's degree in CS/IT or equivalent.
• 5+ years of professional software engineering experience.
• 2+ years hands-on Generative AI, RAG or AI automation.
• Strong Python, plus Java/Node.js for integration.

Responsabilités

• Translate business use cases into secure, scalable enterprise apps.
• Develop backend services, microservices, RESTful APIs, and UI as needed.
• Build AI capabilities: conversational AI, RAG, semantic search, agents.
• Ensure security, CI/CD, monitoring, and production readiness.
• Collaborate with architects, data scientists and delivery teams.

Connaissances

Python

Java

Node.js

React

Kubernetes

Docker

CI/CD

REST APIs

NoSQL

SQL

Git

Generative AI

Formation

Bachelor’s Degree in Computer Science / Information Technology

Outils

Docker

Kubernetes

CI/CD

Git

Description du poste

Job Purpose

We are looking for an experienced Senior Software Engineer to design, develop, and deliver enterprise-grade AI solutions for different Banking Domains. You will work on a diverse range of innovative solutions including conversational AI, Retrieval-Augmented Generation (RAG) platforms, AI agents/Agentic AI, intelligent document processing, workflow automation, knowledge management systems, and enterprise integrations. Working closely with Solution Architects, and Technical Leads. You will build scalable, secure, and production-ready applications that solve real business challenges while leveraging modern cloud and AI technologies.

Job Description

• Translate approved business use cases and solution designs into secure, scalable and maintainable enterprise applications.
• Develop backend services, microservices, RESTful APIs and, where required, responsive web interfaces using the approved technology stack.
• Build and enhance conversational AI, RAG, semantic search, AI-agent, intelligent document processing, knowledge management and workflow automation capabilities.

Integration, data and security

• Integrate applications with enterprise data services, enterprise databases, vector stores, model platforms, event or messaging services, identity platforms and third-party APIs.
• Implement enterprise controls for authentication and authorisation, secrets, encryption, sensitive-data handling, audit logging, AI guardrails and secure software development.

Engineering quality and operations

• Create automated tests and AI evaluation checks; monitor quality, performance, latency, availability, safety and cost-related engineering indicators.
• Package and deploy applications through approved CI/CD pipelines, containers and Kubernetes-based environments across development, testing and production.
• Troubleshoot defects and production incidents, complete root-cause analysis and implement durable corrective actions within agreed service and delivery timelines.

Collaboration and continuous improvement

• Participate in architecture and technical-design reviews, document solutions, review code and contribute to reusable engineering standards and components.
• Work closely with Product Owners, Solution Architects, Data Scientists, Cybersecurity, Data Governance, DevOps, Infrastructure, UI/UX, business teams and delivery partners; evaluate emerging technologies where they provide measurable business value.

Job Specification

Qualifications

• (Basic Degree/Diploma etc) Bachelor’s Degree in Computer Science / Information Technology or equivalent.
• Professional Qualification and/or Regulatory, Licensing requirements Relevant certification in Generative AI/Agentic AI , cloud platforms (Alibaba Cloud, Azure or AWS), Kubernetes, DevSecOps, secure software development, data engineering is advantageous.
• Minimum 5 years of professional software engineering experience, including delivery and support of production applications.
• At least 2 years of hands-on experience with Generative AI, RAG, machine learning or intelligent automation, delivery of at least multiple production-grade AI application is highly desirable.
• Strong hands-on proficiency in Python. Experience with Java and Node.js for enterprise integration is desirable.
• Experience with modern web development using React, Vue.js or Angular.
• Strong understanding of application architecture, object-oriented programming, design patterns, clean code, RESTful APIs and microservices.
• Hands-on experience with SQL, NoSQL and vector databases, Git-based development, automated testing, Docker, Kubernetes or containerised development, CI/CD and Agile delivery.
• Practical experience with RAG pipelines, AI agents, LLM orchestration frameworks, LLM evaluation, observability, security controls and production troubleshooting is highly desirable.