Job Summary
We are looking for a strong GCP AI/GenAI Engineer with hands-on experience building
enterprise AI and Agentic AI solutions on Google Cloud.
Key Responsibilities
Primary Requirement: Candidate must be a hands-on GCP AI/GenAI Engineer capable of
developing production-oriented AI and Agentic AI solutions. Data Engineering is a
secondary skill; we are not looking for a pure Data Engineer with only basic GenAI
exposure.
Good to Have: Multi-agent architectures, MCP concepts, Cloud Run, BigQuery Vector
Search, Looker and Google Cloud AI certifications.
Vendor Screening Priority: Vertex AI + Gemini + Google ADK + Python + RAG/Agentic AI
should be the core skill set. BigQuery/Dataplex/Dataform experience is an added
advantage.
Skill Requirements
Primary Skills – GCP AI / GenAI (75–80%)
• Vertex AI – strong hands-on experience
• Gemini models & APIs
• Google Agent Development Kit (ADK)
• Agentic AI & AI Agent development
• RAG architectures
• Embeddings & Vector Search
• Prompt Engineering
• Function / Tool Calling
• Python & REST API integration
• Enterprise AI security and responsible AI concepts
Secondary Skills – GCP Data Engineering (20–25%)
• BigQuery
• Dataplex
• Dataform
• Dataflow / Apache Beam
• GCS & Pub/Sub
• SQL & Data Modelling
• ETL/ELT concepts
• IAM & CI/CD
Experience: 4+ years
Primary Requirement: Candidate must be a hands-on GCP AI/GenAI Engineer capable of
developing production-oriented AI and Agentic AI solutions. Data Engineering is a
secondary skill; we are not looking for a pure Data Engineer with only basic GenAI
exposure.
Good to Have: Multi-agent architectures, MCP concepts, Cloud Run, BigQuery Vector
Search, Looker and Google Cloud AI certifications.
Vendor Screening Priority: Vertex AI + Gemini + Google ADK + Python + RAG/Agentic AI
should be the core skill set. BigQuery/Dataplex/Dataform experience is an added
advantage.