6+ years of overall working experience with 3+ years of experience in Agentic AI
Python, SQL, and ML libraries (scikit-learn, PyTorch, TensorFlow)
MLOps tools (MLflow, Kubeflow, Azure ML)
Strong to average proficiency in Python, including writing pytest unit tests.
Practical experience with Git and GitLab CI/CD in a team environment.
Hands-on experience in agentic AI system design and orchestration.
Good prompt engineering skills for LLM control and output reliability
Proven ability to build and maintain LangGraph workflows and reusable components.
Solid understanding of A2A orchestration principles.
Able to understand the business requirements and convert into tech specifications.
Ready to work in a rapidly changing environment.
Azure cloud, Kubernetes setup, or experience configuring them.
Handle data transformation and reusable components.
