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