Senior Agentic AI Developer

Cynet Systems • San Jose, CA

1d

About The Position

The Senior Agentic AI Developer joins the Availability & Reliability Team (ART) under the EPE organization to develop and productionize autonomous, task-oriented AI agents. The role focuses on optimizing internal engineering workflows, automating complex problem-solving, and enhancing platform efficiency using reasoning and multimodal capabilities from the Gemini 3 family. The developer leads agentic projects from requirements through production, integrates agents with internal tools and documentation, and improves agent architecture and performance. The role also includes mentoring junior engineers in using Gemini-powered agentic tools and “vibe coding” practices.

Requirements

• At least 8 years of professional software engineering experience, with a track record in full-stack or backend development.
• Deep practical knowledge of Java and Python, demonstrated through significant development experience.
• Hands-on experience with LLMs, specifically the Gemini family, and their use in agentic workflows, reasoning tasks, and tool-calling.
• Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design in Vertex AI.
• Strong understanding of cloud-native development on GCP.
• Demonstrated ability to lead complex projects from requirements gathering through production release and to work across engineering and product stakeholders.

Nice To Haves

• Experience with enterprise-proprietary technologies such as Borg, Blaze, Piper, and Critique.
• Experience with GCP services including Spanner, BigQuery, and Pub/Sub.

Responsibilities

• Architect and orchestrate autonomous agents that plan, execute, and verify engineering tasks, including code generation, unit test creation, and automated bug triaging.
• Develop and maintain Model Context Protocol (MCP) servers that connect agents to internal documentation and tools and support grounded responses.
• Use the Antigravity platform and Agent Development Kit (ADK) to build context-aware assistants integrated with existing IDEs and development tools.
• Lead the transition of AI proof-of-concept projects into production-ready services in collaboration with internal search and productivity teams.
• Propose and implement architectural changes to improve agent reasoning, reduce latency, and optimize token usage.
• Mentor junior engineers in adopting “vibe coding” practices and using Gemini-powered agentic tools for software development.
• Lead complex projects from requirements gathering through production release, serving as a liaison between engineering and product stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed