Job role: - Agentic AI / ML Engineer

Job Location: - Singapore

Experience: - 6-12 Years

Job Summary:-

Design, build, and maintain scalable agentic AI solutions using modern LLM frameworks and MLOps practices. Collaborate with cross-functional teams to translate business needs into reliable, production-ready AI systems.

Job Roles & Responsibilities: -

• Design and develop reusable agentic AI workflows using LangGraph and LLMs
• Implement Agent-to-Agent (A2A) orchestration patterns
• Develop clean, maintainable Python code with comprehensive pytest coverage
• Craft and optimize LLM prompts for accuracy, consistency, and reliability
• Build reusable components for data transformation and processing
• Use Git and GitLab CI/CD to automate build, test, and deployment pipelines
• Translate business requirements into technical specifications
• Adapt to evolving project needs and take on additional responsibilities as required

Job Skills & Requirements:-

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

Good to Have: -

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