Full Stack Engineers

Job Description: Full-Stack Engineer Agentic AI

Client: Google
Locations: Bay Area, California (USA)

Only w2 - USC

Team Structure

The hiring requirement includes two geographically aligned teams:

US Pod: 4 positions based in the Bay Area, California, including 1 hands-on Technical Lead and 3 Full-Stack Engineers.

India Pod: 3 Full-Stack Engineers.

Additional Team Structure: The teams will support US-friendly and EU/APAC-friendly time zones, with 3 members in each pod and 1 hands-on lead based in the US pod.

Note: The staffing breakdown above reflects the information provided. Please confirm the final allocation of all 8 positions, as the stated pod structure accounts for 7 positions.

Role Overview

We are seeking experienced Full-Stack Engineers with strong expertise in agentic AI, applied AI, and production-grade software development. Candidates will work on building, deploying, and scaling AI-powered applications and agent-based solutions in a customer-facing environment.

Successful candidates must have prior hands-on Google coding and production experience, strong full-stack engineering capabilities, and excellent communication skills. They should be comfortable collaborating across geographically distributed teams, translating business requirements into technical solutions, and delivering reliable, scalable applications.

Key Responsibilities

Design, develop, test, and deploy full-stack applications incorporating AI-powered features and agentic workflows.

Build and integrate AI agents, LLM-powered applications, and applied AI solutions for real-world use cases.

Develop robust frontend and backend services using JavaScript/TypeScript and at least one additional language, such as Python, C++, Java, or Go.

Design and implement APIs, service integrations, and scalable application architectures.

Apply software engineering best practices, including code reviews, automated testing, debugging, performance optimization, and production support.

Troubleshoot complex technical issues and ensure application reliability, scalability, and maintainability.

Collaborate with cross-functional teams and customer stakeholders to define requirements and deliver solutions.

Communicate technical concepts clearly and provide regular updates on progress, risks, and implementation decisions.

Support coordination across US and India teams to enable effective collaboration across time zones.

Additional Responsibilities Hands-on Technical Lead (US Pod)

The Technical Lead will be responsible for:

Leading technical design and implementation while remaining actively involved in coding.

Establishing engineering standards and guiding architecture and implementation decisions.

Mentoring engineers, conducting code reviews, and ensuring high-quality deliverables.

Coordinating technical execution across distributed teams.

Working directly with customer stakeholders to resolve technical challenges and align deliverables with business objectives.

Required Qualifications

Proven prior experience writing code at Google and delivering software into production at Google.

Strong full-stack software engineering experience, including JavaScript and TypeScript.

Proficiency in at least one additional programming language: Python, C++, Java, or Go.

Demonstrated hands-on experience building agentic AI systems and applied AI solu

Rachael

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