Data Engineer

Job Role: Data Engineer

Job Location: Singapore

Experience: 5+ Years

• Design and develop reusable agentic AI workflows using LangGraph and LLMs
• Implement Agent-to-Agent (A2A) orchestration patterns
• Perform prompt engineering to ensure reliable and controlled LLM outputs
• Write clean, maintainable, and production-grade Python code with pytest unit tests
• Build reusable data transformation components
• Use Git for version control and GitLab CI/CD for automated testing and deployment
• Collaborate with stakeholders to convert business needs into technical specifications
• Support MLOps pipelines for model training, tracking, and deployment
• Adapt to evolving project requirements and take on additional responsibilities as needed

• Proficiency in Python, including unit testing with pytest
• Strong problem-solving and logical reasoning skills
• Experience with agentic AI system design and orchestration
• Hands-on experience with LangGraph workflows and reusable components
• Solid understanding of A2A orchestration principles
• Good prompt engineering skills for LLM control and output consistency
• Experience with Git and GitLab CI/CD in a team environment
• Knowledge of Python, SQL, and ML libraries (scikit-learn, PyTorch, TensorFlow)
• Experience with MLOps tools (MLflow, Kubeflow, Azure ML)
• Familiarity with Azure cloud and/or Kubernetes environments
• Ability to work effectively in a fast-changing environment

• Experience with Java (Spring Boot) and/or React
• Exposure to financial domain data (risk, trading, KYC, etc.)
• Advanced experience with LangGraph and A2A architectures