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

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