Position Details
About this role
This role involves designing and deploying advanced AI and multi-agent solutions leveraging GCP, AlloyDB, and agentic protocols. The engineer will build scalable retrieval systems, implement security measures, and optimize AI inference performance.
Key Responsibilities
- Design AI solutions using Google ADK and LangChain
- Build RAG pipelines and knowledge graphs
- Implement MCP-compliant agents
- Manage vector storage and session states
- Optimize system performance
Technical Overview
The technical environment includes Google Cloud Platform, Vertex AI, AlloyDB, PostgreSQL, Terraform, and cloud-native AI frameworks. The focus is on secure, scalable AI microservices and retrieval systems.
Ideal Candidate
The ideal candidate is a senior AI engineer with experience designing and operationalizing advanced AI solutions using GCP services, agentic protocols, and cloud infrastructure. They should have strong programming skills in Python or Typescript and a solid understanding of secure distributed system design.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with GCP or Vertex AI, No experience with agentic protocols or MCP, Insufficient programming skills in Python or Typescript, No background in cloud engineering or security
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