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
