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Assistant Google Ai information

What are the typical collaboration opportunities for an Assistant Google AI within cross-functional teams?

As an Assistant Google AI, you will frequently collaborate with product managers, software engineers, UX designers, and data scientists to enhance AI-driven features and user experiences. This role often involves participating in brainstorming sessions, providing feedback on product development, and integrating AI solutions that align with business objectives. Effective communication and teamwork are essential, as you'll be expected to translate complex AI concepts into actionable insights for non-technical stakeholders. This collaborative environment not only broadens your skill set but also provides ample opportunities for professional growth and learning from experts across different domains.

What is the difference between Assistant Google Ai vs Chatbot Developer?

AspectAssistant Google AiChatbot Developer
Required CredentialsTechnical certifications, AI/ML knowledgeProgramming skills, AI/ML understanding
Work EnvironmentTech companies, AI development teamsSoftware companies, customer service platforms
Employer & Industry UsageGoogle, AI and tech industriesVarious industries including retail, finance, and customer support
Common Search & Comparison IntentUnderstanding AI assistant capabilitiesBuilding or improving chatbots

Assistant Google Ai focuses on developing and managing AI-powered virtual assistants like Google Assistant, emphasizing natural language processing and user interaction. Chatbot Developers design and build chatbots for various platforms, often requiring programming and AI skills. While both roles involve AI and machine learning, Assistant Google Ai professionals typically work within larger tech ecosystems, whereas Chatbot Developers may work across diverse industries to create customer service solutions.

What are the key skills and qualifications needed to thrive as an Assistant Google AI, and why are they important?

To thrive as an Assistant Google AI, you need a strong background in computer science, machine learning, and natural language processing, usually supported by a relevant degree and experience in AI research or development. Familiarity with AI frameworks (such as TensorFlow), cloud platforms, and programming languages like Python is essential, along with certifications in machine learning or data science. Strong analytical thinking, problem-solving abilities, and effective communication set top performers apart in this field. These skills and qualities are crucial for building, optimizing, and supporting advanced AI solutions that meet user needs and business goals.

What does an Assistant Google AI do?

Assistant Google AI roles involve working on the development, improvement, and deployment of artificial intelligence technologies that power Google Assistant and related products. Professionals in these roles may focus on natural language processing, voice recognition, machine learning, and user experience design to make interactions with Google Assistant more helpful and intuitive. Their responsibilities often include researching new AI methods, training models, testing features, and addressing user feedback to enhance product performance. These roles are crucial for creating smarter, more responsive virtual assistants that can understand and assist users in everyday tasks.
More about Assistant Google Ai jobs
What cities are hiring for Assistant Google Ai jobs? Cities with the most Assistant Google Ai job openings:
What are the most commonly searched types of Google Ai jobs? The most popular types of Google Ai jobs are:
What states have the most Assistant Google Ai jobs? States with the most job openings for Assistant Google Ai jobs include:
What job categories do people searching Assistant Google Ai jobs look for? The top searched job categories for Assistant Google Ai jobs are:
Assistant Google Ai jobs near you
Infographic showing various Assistant Google Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

AI Agent Engineer - Google ADK & Generative AI

First Soft Solutions

NJ • On-site

Full-time

Posted 13 days ago

Job description

Senior AI Agent Engineer - Google ADK & Generative AI
About the Role
We are looking for an experienced Senior AI Agent Engineer to lead the design and development of enterprise-grade AI agents using Google Agent Development Kit (ADK) and Google Gemini. This role is ideal for someone passionate about building intelligent, autonomous systems that can reason, plan, collaborate, and execute business workflows across enterprise applications.
You will work closely with product managers, architects, and business stakeholders to develop AI-powered solutions that integrate seamlessly with Google Workspace, Google Cloud, internal platforms, and third-party enterprise systems. The ideal candidate has strong software engineering fundamentals, hands-on experience with Generative AI technologies, and a proven ability to deliver production-ready AI solutions.
Key Responsibilities
  • Design, develop, and deploy intelligent AI agents using Google Agent Development Kit (ADK).
  • Build scalable multi-agent systems capable of planning, reasoning, tool orchestration, and autonomous task execution.
  • Integrate AI agents with Google Workspace services, including Gmail, Drive, Docs, Sheets, Calendar, Meet, and Chat.
  • Develop secure integrations with enterprise applications, REST APIs, databases, and external services.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases.
  • Build conversational memory, session management, and context-aware interactions for AI agents.
  • Optimize prompts, reasoning strategies, and tool selection to improve agent accuracy and reliability.
  • Deploy and manage AI solutions on Google Cloud Platform (GCP), including Vertex AI and related cloud services.
  • Implement authentication, authorization, and secure access using OAuth 2.0, IAM, and enterprise security standards.
  • Develop monitoring, logging, tracing, and evaluation frameworks to ensure production reliability.
  • Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven business solutions.
  • Stay current with advancements in Generative AI, LLMs, AI agents, and cloud technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
  • 5+ years of software engineering experience developing enterprise applications.
  • 2+ years of hands-on experience building Generative AI or Large Language Model (LLM) solutions.
  • Practical experience with Google Agent Development Kit (ADK).
  • Experience developing applications using Google Gemini models.
  • Strong programming skills in Python.
  • Experience building RESTful APIs and microservices.
  • Hands-on experience designing AI agents or workflow orchestration frameworks.
  • Strong understanding of Prompt Engineering, Function Calling, and AI Agent architectures.
  • Experience implementing Retrieval-Augmented Generation (RAG).
  • Experience working with Vector Databases.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Experience with Git, CI/CD pipelines, and Agile development methodologies.
Preferred Qualifications
  • Experience deploying AI solutions using Vertex AI Agent Engine.
  • Experience integrating Google Workspace APIs.
  • Experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.
  • Knowledge of Model Context Protocol (MCP).
  • Experience with Docker and Kubernetes.
  • Experience working with BigQuery, Firestore, Cloud SQL, or AlloyDB.
  • Familiarity with AI observability, evaluation frameworks, and LLMOps practices.
  • Experience building enterprise copilots or AI assistants.
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About First Soft Solutions

Sourced by ZipRecruiter

First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

2006

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