Senior Gen Ai Developer

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.

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, Kubernetics setup or experience configuring them.

Handle data transformation and reusable components.

Java (sprinboot), React.

Experience in financial domain data (risk, trading, KYC, etc.).

LangGraph, A2A.