Agentic AI / ML Engineer

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