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The Role
Develops scalable backend applications, microservices, APIs, and LLM-powered features for risk technology. Responsibilities include prompt and context engineering, RAG, AI agents, vector databases, evaluation harnesses, guardrails, SQL and ORM development, full-stack contributions, CI/CD, deployment automation, monitoring, and DevOps. The role collaborates with stakeholders to translate technical and AI requirements into reliable production systems.
Summary Generated by Built In
Responsibilities
- Collaborate with business stakeholders to gather, analyze, and refine technical and AI-related requirements.
- Design, develop, and maintain scalable applications, microservices, and APIs.
- Develop and integrate LLM-powered features (e.g., copilots, chatbots, decision-support tools).
- Build backend services using Java, Python, Node.js, and modern frameworks (FastAPI, Spring Boot).
- Perform prompt engineering, context engineering, and RAG (retrieval-augmented generation).
- Build and orchestrate AI agents, Agent Harness, and multi-agent workflows.
- Apply OOP, OOAD principles, and design patterns to deliver robust systems.
- Integrate LLM APIs and manage vector databases and embeddings for semantic search.
- Develop AI evaluation, testing harnesses, and guardrails to ensure performance and reliability.
- Design and optimize SQL databases and work with ORM tools (Hibernate/JPA).
- Contribute to full-stack development, including UI/UX using JavaScript/TypeScript.
- Manage end-to-end SDLC (Software Development Lifecycle), including development, testing, deployment, and maintenance.
- Implement and maintain CI/CD pipelines for both application and AI workloads.
- Work in a DevOps environment, supporting automation, monitoring, and scalability.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
- 5+ years of software development experience.
- Strong proficiency in Python; working knowledge of JavaScript, TypeScript, Java, Kotlin.
- Hands-on experience with FastAPI, Spring Boot, and backend frameworks.
- Experience building RESTful APIs and microservices architectures.
- Experience or exposure to LLMs, prompt engineering, or AI application development.
- Understanding of RAG, embeddings, vector databases, and semantic search.
- Familiarity with AI agent frameworks (LangChain) and Agent Harness concepts.
- Knowledge of AI evaluation, guardrails, and hallucination mitigation techniques.
- Good understanding of backend architecture, distributed systems, OOP, and design patterns.
- Proficiency in SQL, relational databases, and ORM tools (Hibernate, JPA); familiarity with NoSQL (MongoDB) is a plus.
- Experience with CI/CD, Git, DevOps practices, and deployment automation.
- Strong communication skills and ability to explain complex engineering and AI concepts.
Location:
DBS Asia CentralJob:
Risk Management.Schedule:
RegularEmployee Status:
Full timeSkills Required
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 5+ years of software development experience
- Strong proficiency in Python
- Working knowledge of JavaScript, TypeScript, Java, and Kotlin
- Hands-on experience with FastAPI, Spring Boot, and backend frameworks
- Experience building RESTful APIs and microservices architectures
- Experience or exposure to LLMs, prompt engineering, or AI application development
- Understanding of RAG, embeddings, vector databases, and semantic search
- Familiarity with AI agent frameworks such as LangChain and Agent Harness concepts
- Knowledge of AI evaluation, guardrails, and hallucination mitigation techniques
- Understanding of backend architecture, distributed systems, OOP, and design patterns
- Proficiency in SQL, relational databases, and ORM tools including Hibernate and JPA
- Familiarity with MongoDB
- Experience with CI/CD, Git, DevOps practices, and deployment automation
- Strong communication skills and ability to explain complex engineering and AI concepts
DBS Bank Ltd Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DBS Bank Ltd and has not been reviewed or approved by DBS Bank Ltd.
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Healthcare Strength — Medical coverage for employees and dependents is described as comprehensive, with health screenings, wellness activities, counselling, and mental-health support. Feedback suggests this breadth of support meaningfully strengthens the overall package.
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Leave & Time Off Breadth — Maternity, paternity, and family leave are complemented by extensive leave provisions for major life events in several markets. Annual leave is also noted as substantial, contributing to work-life flexibility.
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Equity Value & Accessibility — An employee share-purchase plan with employer matching makes equity participation accessible in applicable markets. This adds a long-term value component alongside core pay.
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The Company
What We Do
DBS Bank is a leading financial services group in Asia, headquartered in Singapore. It provides a full range of consumer, SME, and corporate banking services. The bank is recognized for its digital innovation, having been named 'World's Best Digital Bank' and 'World's Best Bank' by various publications. It also operates the DBS Foundation, which supports social enterprises and community initiatives, reflecting its commitment to creating impact beyond traditional banking.
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