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