Senior Full Stack AI Engineer – G3 Stack
Major global professional services and consulting firm · Remote (US)
- Location
- Remote (US) · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- No sponsorship — now or in future
Stack
JavaScript · TypeScript · HTML · CSS · Lit · Angular · Wiz · Go · Python · Java · SQL · LLM · AI Agents · ADK · A2A · MCP · BoQ · BoQ Web · BoQ GOA · Vega-Lite
About the role
Job Title: Senior Full Stack AI Engineer – G3 Stack Location: 100% Remote – Must be physically based in the USA Experience: 10+ Years Google Experience: Mandatory Identity Verification: Required Job Overview Seeking a highly experienced Senior Full Stack AI Engineer with prior hands-on Google experience and expertise in full-stack application development, backend engineering, system architecture, and AI agent integration. The ideal candidate will have experience with Google's G3 technology stack, including BoQ, BoQ Web, Wiz, and BoQ GOA, along with strong frontend and backend development skills and practical experience integrating Large Language Models (LLMs) and AI agents into production applications. Key Responsibilities - Design, develop, and maintain scalable full-stack applications. - Build frontend applications using JavaScript, TypeScript/TSX, HTML, CSS, Lit, Angular, or Wiz. - Develop backend services and microservices using Go, Python, Java/Flume, and SQL. - Work with G3 platform technologies, including BoQ, BoQ Web, Wiz, and BoQ GOA. - Integrate LLM-powered solutions and AI agents into enterprise applications. - Implement AI agent workflows using ADK, A2A, MCP, or similar frameworks. - Design scalable system architectures, APIs, and distributed services. - Develop data visualization dashboards using Vega-Lite or Charts. - Apply DevOps, CI/CD, monitoring, security, and performance optimization practices. - Collaborate with cross-functional teams to deliver reliable, secure, and high-performance solutions. Required Qualifications - 10+ years of overall software engineering experience. - Previous hands-on experience working at Google is mandatory. - Strong full-stack development experience across frontend and backend technologies. - 3+ years of experience with frontend technologies such as HTML, CSS, JavaScript, TypeScript/TSX, Lit, Angular, or Wiz. - 3+ years of backend development experience using Go, Python, Java/Flume, SQL, or related technologies. - At least 1 year of hands-on experience integrating LLMs and AI agent architectures. - Experience with ADK, A2A, MCP, or similar AI agent technologies. - Knowledge or hands-on experience with Google's G3 stack, including BoQ, BoQ Web, Wiz, and BoQ GOA. - Strong understanding of system design, APIs, distributed systems, and scalable application architecture. - Excellent verbal and written communication skills. Nice-to-Have Skills - DevOps, CI/CD, and cloud infrastructure experience. - Data visualization experience with Vega-Lite or Charts. - Enterprise-scale data processing and Java Flume. - gRPC and Protocol Buffers. - Familiarity with specialized Google infrastructure and internal development frameworks. - Experience building production-grade AI-powered enterprise applications. Candidate Requirements - Must currently reside physically in the United States. - Must be a US Citizen or Green Card holder. - Must have prior Google work experience. - Must possess strong hands-on frontend and backend engineering skills. - Must have practical experience integrating LLMs and AI agents into applications. - Must be willing to complete the client's Identity Verification (IDV) process.
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