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

DBS Bank; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DBS Bank is seeking an experienced software engineer to design, develop, and maintain scalable applications and AI-enabled features. You will work across backend services (Java, Python, Node.js) and modern frameworks like FastAPI and Spring Boot, applying prompt engineering and RAG techniques.

The role involves building RESTful APIs, integrating LLMs, and collaborating with stakeholders to deliver robust, compliant systems in a DevOps environment.

Qualifications

• 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.
• Experience with FastAPI, Spring Boot, and backend frameworks.
• Experience building RESTful APIs and microservices.
• Familiarity with LangChain and AI frameworks.

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.

Skills

Python

JavaScript

TypeScript

Java

Kotlin

REST APIs

Microservices

LLMs

Prompt engineering

RAG

LangChain

OOAD

SQL

Hibernate/JPA

NoSQL MongoDB

CI/CD

DevOps

Education

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

Tools

FastAPI

Spring Boot

Hibernate/JPA

MongoDB

LangChain

Git

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 Central

Job

Risk Management.

Schedule

Regular

Employee Status

Full time