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

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