Description

You will design and implement AI-driven applications and agentic workflows using Python and Google Cloud Platform.

Responsibilities

• Build and deploy AI applications using RAG architectures and agentic frameworks.
• Develop backend services using FastAPI, Flask, and Pydantic.
• Implement and optimize AI agent lifecycles, including tool calling and ReACT prompting techniques.
• Evaluate AI application performance using metrics and frameworks like RAGAS and AI as a Judge.
• Manage code deployment through GitHub and CI/CD pipelines via GitHub Actions.

Required Skills

• 5+ years of professional Python development experience.
• Hands-on experience with FastAPI, Flask, and Pydantic.
• Proficiency with AI frameworks including Langchain, CrewAI, and Google ADK.
• Experience with Google Cloud Platform services such as VertexAI and Cloud Run.
• Knowledge of RAG application development and optimization.
• Understanding of the complete AI Agent lifecycle, tool calling, and ReACT.
• Experience with AI evaluation methods including RAGAS, RAPID, and AI as a Judge.
• Fundamental NLP knowledge covering semantic similarity and intent classification.
• Version control using GitHub and CI/CD via GitHub Actions.

Preferred Skills

• Experience improving RAG application accuracy and retrieval.

Key Skills

Education

Any Graduate