Job Summary
We are seeking an experienced Google Antigravity Consultant with strong expertise in AI-assisted software development, agentic AI workflows, cloud technologies, and modern application engineering.
The ideal candidate will have hands-on experience with Google Antigravity, Google's agent-first development platform, and the ability to leverage AI coding agents to automate development tasks, accelerate application delivery, optimize engineering workflows, and integrate AI-powered solutions into enterprise environments.
Key Responsibilities
- 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.
Required Skills & Qualifications
- 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.
Preferred / Nice-to-Have 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.