Integration Engineer

ANEXT Bank; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

ANEXT Bank in Singapore is hiring a backend engineer to build AI-powered features and core operation platforms for digital banking. You will own end-to-end development, integrate with core banking systems, and ensure secure, auditable production services.

The role blends AI implementation with robust, scalable backend engineering in a regulated environment. The candidate should have 5–8 years in software development, strong Java/Spring Boot skills, distributed systems know-how, and fluency in

Qualifications

• BS/MS degree in Computer Science, Computer Engineering, or a related field.
• 5–8 years of professional software development experience, preferably in financial services or another regulated industry.
• Strong backend production experience with Java and Spring Boot, with the ability to write well-designed, testable, and efficient code.
• Strong understanding of distributed systems and microservice architecture, with experience in public cloud, cloud-native technologies, and Kubernetes.
• Experience with banking systems, including core banking, payments, KYC, AML, or screening.
• Strong curiosity about AI technologies and eagerness to learn; prior exposure to AI frameworks, RAG, or agent frameworks is a plus.
• Ability to collaborate effectively with cross-functional teams and quickly learn existing systems.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
• Proficiency in both Mandarin and English

Responsibilities

• Implement agentic AI workflows and orchestration logic
• Build Java services and tools (APIs, integrations, state management, error handling) that enable the agent to interact with banking systems
• Connect AI agent to core banking, payments, identity, and customer systems
• Maintain business logic in version-controlled, tested services with auditable behaviour
• Contribute to bank's own AI evaluation frameworks and system observability
• Turn approved product and solution concepts into production systems across customer acquisition, onboarding, deposit growth, and back-office innovation
• Deliver end to end: technical design, build, testing, deployment, and production support
• Contribute to engineering standards, reusable components, and design reviews
• Build and maintain the services, APIs, and data/event pipelines underpinning our digital banking capabilities
• Ensure everything you build meets the bank's security, resilience, audit, and regulatory requirements
• Work as one team with peer engineers from parent group, following standard frameworks and best practices
• Collaborate with product owners and solution engineers to translate defined requirements into technical designs and implementation

Skills

Java

Spring Boot

Distributed systems

Microservice architecture

Kubernetes

Cloud-native technologies

AI frameworks

Mandarin & English

Education

BS/MS degree in Computer Science, Computer Engineering, or a related field

Job description

We are building a next-generation digital banking platform with AI-powered capabilities and innovative digital products — deployed in production at a regulated bank serving internal employees and real customers.

You will be the hands-on engineer building these systems. Working within a nimble, full-ownership squad, you will turn solution designs into working, production-grade systems that support customer growth and operational efficiency.

We are looking for a strong backend engineer who wants to grow into AI product implementation, working on products that directly impact customers. This role is an even split between implementing AI-powered features and building the core operation platforms that run the bank.

Job Responsibilities

Implementation of Agentic AI Features

• Implement agentic AI workflows and orchestration logic
• Build Java services and tools (APIs, integrations, state management, error handling) that enable the agent to interact with banking systems
• Connect AI agent to core banking, payments, identity, and customer systems
• Maintain business logic in version-controlled, tested services with auditable behaviour
• Contribute to bank's own AI evaluation frameworks and system observability

Implementation of Digital Banking Capabilities

• Turn approved product and solution concepts into production systems across customer acquisition, onboarding, deposit growth, and back-office innovation
• Deliver end to end: technical design, build, testing, deployment, and production support
• Contribute to engineering standards, reusable components, and design reviews
• Build and maintain the services, APIs, and data/event pipelines underpinning our digital banking capabilities
• Ensure everything you build meets the bank's security, resilience, audit, and regulatory requirements

Collaboration with Stakeholders

• Work as one team with peer engineers from parent group, following standard frameworks and best practices
• Collaborate with product owners and solution engineers to translate defined requirements into technical designs and implementation

Requirements

• BS/MS degree in Computer Science, Computer Engineering, or a related field
• 5–8 years of professional software development experience, preferably in financial services or another regulated industry
• Strong backend production experience with Java and Spring Boot, with the ability to write well-designed, testable, and efficient code
• Strong understanding of distributed systems and microservice architecture, with experience in public cloud, cloud-native technologies, and Kubernetes
• Experience with banking systems, including core banking, payments, KYC, AML, or screening
• Strong curiosity about AI technologies and eagerness to learn; prior exposure to AI frameworks, RAG, or agent frameworks is a plus
• Ability to collaborate effectively with cross-functional teams and quickly learn existing systems
• Strong problem-solving skills and ability to work independently in a fast-paced environment
• Proficiency in both Mandarin and English