Description

You will build and deploy generative AI applications, focusing on stateful multi-agent workflows and enterprise data integration.

This role is on-site.

Responsibilities

• Design and implement stateful, multi-agent workflows using LangGraph and the Google Agent Development Kit.
• Develop generative AI applications integrating enterprise data sources using Model Context Protocol (MCP).
• Architect and deploy AI services on Google Cloud Platform using Vertex AI, Cloud Run, and Cloud Functions.
• Build and maintain REST APIs in Python (FastAPI or Flask) to expose AI capabilities.
• Implement Retrieval-Augmented Generation (RAG) architectures and establish evaluation mechanisms for response quality.

Required Skills

• 10+ years of professional software engineering experience.
• Expert-level proficiency in Python.
• Hands-on experience with LangGraph for agent orchestration.
• Deep familiarity with Google Cloud Platform services, specifically Vertex AI, Cloud Run, and Cloud Functions.
• Proven track record of building and maintaining REST APIs.
• Experience working with BigQuery and vector databases.
• Solid understanding of CI/CD pipelines and Git version control.
• Knowledge of LLM optimization, prompt tuning, and latency monitoring.

Key Skills

Education

Any Gradute