Enterprise Agentic AI Engineer

Cloud Analytics Technologies, LLC; Irvine (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a skilled Python developer to design and implement enterprise-grade AI agents and multi-agent workflows in a modern cloud environment.

The role focuses on agent reasoning, tool use, and coordination across agents using A2A patterns, with exposure to Google ADK, Vertex AI, and Gemini.

You will contribute to production pilots, ensure security and testing, and collaborate with teams to operationalize intelligent automation.

Qualifications

• Strong Python development skills and hands-on AI experience.
• Experience with agentic and multi-agent workflows.
• Familiarity with REST APIs and external services integration.
• Knowledge of memory management for conversational agents.
• Experience with cloud AI platforms and testing.

Responsibilities

• Design and build enterprise-grade AI agents and multi‑agent workflows.
• Design and develop enterprise AI agents based on defined workflows.
• Build agent workflows using Google ADK and Vertex AI / Agent Engine.
• Use Gemini models for reasoning, planning, summarization and structured outputs.
• Develop prompts, prompt templates and structured outputs; support testing.
• Implement RAG capabilities using embeddings and retrieval.
• Implement session context, memory patterns and security considerations.
• Integrate agents with MCP tools, REST APIs and external services.
• Design agent‑to‑agent collaboration using A2A patterns.
• Implement orchestration and multi‑step execution with human‑in‑the‑loop.
• Apply input/output validation and guardrails for sensitive data.

Skills

Python development

LLM / Generative AI

Agent frameworks

A2A multi-agent patterns

REST API integration

Memory management

Tools

Google ADK

Vertex AI

Agent Engine

Gemini

MCP

GCP

Git/GitHub

Docker

CI/CD

Automated testing

Job description

Cloud Analytics Technologies, LLC is seeking a skilled Python developer to design and implement enterprise-grade AI agents and multi-agent workflows in a modern cloud environment.

The role focuses on agent reasoning, tool use, and coordination across agents using A2A patterns, with exposure to Google ADK, Vertex AI, and Gemini.

You will contribute to production pilots, ensure security and testing, and collaborate with teams to operationalize intelligent automation.