Assoc/Snr Assoc, Agentic AI Engineer, Risk Technology, Risk Management Group

DBS Bank Ltd; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

DBS Bank Ltd seeks a backend/AI-focused software engineer to design, develop, and maintain scalable applications and AI features in a risk-management context. You will work across Java, Python, Node.js and frameworks like FastAPI/Spring Boot, implementing RESTful microservices and AI-enabled tooling.

The role emphasizes prompt engineering, RAG concepts, and building AI agents within a DevOps environment. Strong communication and full SDLC experience are essential.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of software development experience.
• Strong proficiency in Python.
• Experience with RESTful APIs and microservices.
• Familiarity with AI/LLMs and RAG concepts.
• Knowledge of SQL and ORM tools like Hibernate/JPA.

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 like FastAPI, Spring Boot.
• Perform prompt engineering, context engineering, and RAG (retrieval-augmented generation).
• Build and orchestrate AI agents, Agent Harness, and multi-agent workflows.
• Contribute to full-stack development, including UI/UX using JavaScript/TypeScript.
• Manage end-to-end SDLC, CI/CD pipelines for applications and AI workloads.
• Work in a DevOps environment supporting automation, monitoring, and scalability.

Skills

Python

Java

JavaScript

TypeScript

Kotlin

FastAPI

Spring Boot

RESTful APIs

Microservices

LLMs

Prompt engineering

RAG

LangChain

Agent Harness

SQL

Hibernate/JPA

MongoDB

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Tools

Hibernate/JPA

MongoDB

LangChain

Agent Harness

Job description

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 time