Key skills
Google ADKAgent-to-Agent protocolPythonGemini Agent DesignerVertex AI Agent BuilderCloud RunBigQueryAI engineeringlow-code developmentcloud-native architecturesSQLAIGKEVertex AIPrototyping
About this role
AMISEQ is looking for a Senior AI Engineer to design and deploy production-ready, multi-agent AI systems that automate complex enterprise workflows using Google’s latest AI and cloud technologies. The role involves architecting autonomous AI agents and building scalable solutions that integrate with enterprise tools and databases.
Responsibilities:
- Design and develop intelligent AI agents that can reason, plan, and use tools
- Build multi-agent systems where agents communicate, collaborate, and negotiate tasks
- Leverage Gemini Agent Designer and Vertex AI Agent Builder for rapid prototyping and enterprise grounding (RAG)
- Connect agents to enterprise tools, databases, and APIs using MCP
- Deploy agents as scalable microservices on Cloud Run or GKE Autopilot
- Partner with product, platform, and business teams to automate complex workflows
Requirements:
- Strong background in AI engineering, LLMs, or intelligent systems
- Comfortable working with both low-code tools and deep backend engineering
- Experienced in cloud-native architectures and production deployments
- Able to translate business workflows into AI-driven automation
- Curious, hands-on, and excited about the future of agentic AI
- Experience with Google Agent Development Kit (ADK)
- Familiarity with Agent-to-Agent (A2A) protocol
- Knowledge of Model Context Protocol (MCP)
- Experience with Gemini Agent Designer and Vertex AI Agent Builder
- Proficiency in Python
- Experience with JSON-RPC for A2A messaging
- Familiarity with BigQuery / Cloud SQL
- Experience with vector databases (AlloyDB AI, Vertex AI Search)
- Experience deploying agents as scalable microservices on Cloud Run or GKE Autopilot