Role : Senior AI Engineer (Agentic Systems & Low-Code Specialist)
Location : Santa Clara CA(Remote)
Job Objective
To architect develop and deploy production-ready AI agents that leverage the Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol. This role focuses on transforming complex enterprise workflows into autonomous multi-agent systems using both high-level low-code tools in Gemini Enterprise and deep SDK-based engineering in Vertex AI.
Technical Stack & Expertise
1. Agentic Frameworks (Core Focus)
- Google ADK (Agent Development Kit): Expertise in building agents that can reason plan and use tools.
- A2A (Agent-to-Agent Protocol): Implementation of standardized communication between distributed agents including Agent Discovery via Agent Cards and task negotiation.
- MCP (Model Context Protocol): Connecting agents to enterprise tools databases (AlloyDB BigQuery) and external APIs through a universal adapter interface.
2. Gemini Enterprise & Low-Code
- Gemini Agent Designer: Utilizing the no-code/low-code workbench to visually map agent flows and sub-agent hierarchies.
- Vertex AI Agent Builder: Rapidly prototyping and grounding agents in enterprise data (RAG).
3. Backend & Infrastructure
- Compute: Deploying agents as scalable microservices via Cloud Run or GKE Autopilot.
- Data Foundations: SQL (BigQuery/Cloud SQL) and Vector Databases for grounding (AlloyDB AI Vertex AI Search).
Languages: Python (Primary) JSON-RPC for A2A messaging
Role : Senior AI Engineer (Agentic Systems & Low-Code Specialist) Location : Santa Clara CA(Remote) Job Objective To architect develop and deploy production-ready AI agents that leverage the Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol. This role focuses on transforming complex...
Role : Senior AI Engineer (Agentic Systems & Low-Code Specialist)
Location : Santa Clara CA(Remote)
Job Objective
To architect develop and deploy production-ready AI agents that leverage the Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol. This role focuses on transforming complex enterprise workflows into autonomous multi-agent systems using both high-level low-code tools in Gemini Enterprise and deep SDK-based engineering in Vertex AI.
Technical Stack & Expertise
1. Agentic Frameworks (Core Focus)
- Google ADK (Agent Development Kit): Expertise in building agents that can reason plan and use tools.
- A2A (Agent-to-Agent Protocol): Implementation of standardized communication between distributed agents including Agent Discovery via Agent Cards and task negotiation.
- MCP (Model Context Protocol): Connecting agents to enterprise tools databases (AlloyDB BigQuery) and external APIs through a universal adapter interface.
2. Gemini Enterprise & Low-Code
- Gemini Agent Designer: Utilizing the no-code/low-code workbench to visually map agent flows and sub-agent hierarchies.
- Vertex AI Agent Builder: Rapidly prototyping and grounding agents in enterprise data (RAG).
3. Backend & Infrastructure
- Compute: Deploying agents as scalable microservices via Cloud Run or GKE Autopilot.
- Data Foundations: SQL (BigQuery/Cloud SQL) and Vector Databases for grounding (AlloyDB AI Vertex AI Search).
Languages: Python (Primary) JSON-RPC for A2A messaging
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