Senior Agentic AI Developer

RESPONSIBILITIES

- Problem solving ability with logical reasoning.

- Design and develop reusable agentic AI workflows with LangGraph and LLMs.

- Craft and refine clear, effective prompts for diverse tasks.

- Understand Agent-to-Agent (A2A) design patterns.

- Write clean, production-grade Python code with comprehensive pytest unit tests.

- Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.

- Adapt to role flexibility and take on additional responsibilities as needed.

REQUIREMENTS

6+ years of overall working experience with 3+ years of experience in Agentic AI

Absolute Must Skills:

- Python, SQL, and ML libraries (scikit-learn, PyTorch, TensorFlow)

- MLOps tools (MLflow, Kubeflow, Azure ML)

Qualifications

- 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, K8s setup or experience configuring them.

- Handle data transformation and reusable components.