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

DBS · Singapore

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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.

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