Google Antigravity Consultant

Google Antigravity Consultant

Location: Remote

Position Type: Multiyear Contract

Security Clearance: [ship -- Required]

• Implement and configure Google Antigravity for AI-driven application development and engineering workflows.
• Design and manage autonomous AI coding agents for software development, debugging, testing, and deployment.
• Leverage Google Gemini models and agentic AI capabilities to enhance developer productivity.
• Build and optimize AI-assisted development workflows across IDE, terminal, and browser environments.
• Integrate Google Antigravity with existing development tools, Git repositories, APIs, and CI/CD pipelines.
• Develop enterprise-grade applications using Python, JavaScript, TypeScript, and modern frameworks.
• Design and implement multi-agent workflows for complex software engineering tasks.
• Work with Google Cloud Platform (Google Cloud Platform) services for AI application development and deployment.
• Implement secure development practices, access controls, code review processes, and AI governance standards.
• Evaluate AI-generated code for quality, performance, reliability, and security.
• Collaborate with engineering, DevOps, architecture, and business teams to identify AI automation opportunities.
• Conduct technical workshops, proof-of-concepts (POCs), and knowledge-transfer sessions.

• 5+ years of experience in software development, cloud engineering, or AI solution implementation.
• Hands-on experience with Google Antigravity or comparable agentic AI development environments.
• Strong understanding of Agentic AI, Generative AI, Large Language Models (LLMs), and AI coding agents.
• Experience with Google Gemini APIs, AI SDKs, and prompt engineering.
• Proficiency in Python, JavaScript, or TypeScript.
• Experience with VS Code-based development environments and AI coding assistants.
• Strong knowledge of REST APIs, microservices, and application integration.
• Experience with Git, GitHub, CI/CD, Docker, and DevOps practices.
• Working knowledge of Google Cloud Platform, including Vertex AI, Cloud Run, and Cloud Functions.
• Understanding of AI agent orchestration, tool calling, context management, and workflow automation.
• Strong troubleshooting, architecture, documentation, and communication skills.

• Experience with Google Agent Development Kit (ADK).
• Familiarity with Model Context Protocol (MCP) and AI tool integrations.
• Experience with LangChain, LangGraph, or other agent orchestration frameworks.
• Knowledge of retrieval-augmented generation (RAG) and vector databases.
• Experience implementing AI governance and secure enterprise AI solutions.
• Familiarity with Kubernetes, Terraform, and cloud-native architecture.
• Experience leading AI development platform adoption or enterprise AI transformation initiatives.