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Google Assistant Jobs (NOW HIRING)

Software People, Inc.

AI Developer

Lansing, MI · On-site

... Google Assistant SDK, or other Google Cloud chatbot development tools • 3+years in RESTful APIs and webhooks • 3+years in SQL, R, and/or Pandas. • 3+ years in cloud computing and software ...

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Google Assistant information

How does a Google Assistant Product Manager typically collaborate with engineering and design teams?

Product Managers for Google Assistant work closely with both engineering and design teams to define product requirements and prioritize features. This collaboration often involves regular meetings to align on project goals, discussing user feedback, and iterating on prototypes to ensure a seamless user experience. Product Managers act as the bridge between technical and non-technical stakeholders, ensuring the final product meets both user needs and business objectives. Effective communication and project management skills are essential in this dynamic, cross-functional environment.

What is the difference between Google Assistant vs Customer Service Representative?

AspectGoogle AssistantCustomer Service Representative
Required CredentialsNo formal credentials neededHigh school diploma or equivalent, sometimes certifications
Work EnvironmentRemote, AI-driven, technology-focusedOffice or call center, human interaction
Industry UsageTechnology, AI, consumer electronicsRetail, telecom, service industries
Primary RoleAssist users via voice commands, automate tasksHandle customer inquiries, resolve issues

Google Assistant is an AI-powered virtual assistant designed to perform tasks and answer questions through voice commands, requiring no formal credentials. Customer Service Representatives interact directly with customers, often in call centers, to provide support and resolve issues, typically needing a high school diploma. While Google Assistant operates autonomously in a digital environment, Customer Service Representatives work in human-centric settings. Both roles focus on assisting users or customers but differ significantly in credentials, environment, and interaction style.

Is Google discontinuing Google Assistant?

Google Assistant is not being discontinued; it remains a core part of Google's smart device ecosystem. Google continues to update and support the assistant across various platforms, including smartphones, smart speakers, and other connected devices.

What is the salary of a Google Assistant?

Google Assistant is a virtual assistant and not a job position, so it does not have a salary. If you are referring to roles related to developing or managing Google Assistant, salaries for such positions vary widely based on experience, location, and role, typically ranging from $70,000 to over $150,000 annually for software engineers and related roles at Google.

Can I get a job with Google with no experience?

Getting a role at Google, including positions related to Google Assistant, typically requires relevant skills and experience, but entry-level positions may be available for candidates with minimal experience if they demonstrate strong technical abilities, problem-solving skills, and a willingness to learn. Internships and apprenticeships are also options for those new to the industry. Building skills in areas like programming, machine learning, or user experience can improve chances of securing such roles.

How to become a Google Assistant?

Google Assistant is an AI-powered virtual assistant developed by Google, not a job position. To work in related roles such as AI development or software engineering at Google, candidates typically need a background in computer science, programming skills, and experience with machine learning or natural language processing. Relevant qualifications include a bachelor's degree or higher, proficiency in programming languages like Python, and familiarity with Google's developer tools and APIs.

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

To thrive as a Google Assistant developer, you need strong programming skills (especially in JavaScript, Node.js, and conversational design) and familiarity with Google Actions SDK or Dialogflow. Experience with cloud platforms (like Google Cloud), API integrations, and relevant certifications such as Google Cloud Certified – Professional Cloud Architect are highly valuable. Excellent problem-solving, creativity, and communication skills set developers apart by enabling effective user-focused solutions and collaboration. These competencies are crucial for building reliable, engaging, and scalable voice experiences that meet user needs and leverage Google Assistant's capabilities.

What is a Google Assistant?

Google Assistant is a virtual assistant powered by artificial intelligence, developed by Google. It is designed to help users perform tasks, answer questions, control smart home devices, set reminders, and access information using voice commands or text input. Google Assistant is available on smartphones, smart speakers, smart displays, and other compatible devices. Its integration with various apps and services makes it a versatile tool for productivity, entertainment, and daily routines.
More about Google Assistant jobs
What cities are hiring for Google Assistant jobs? Cities with the most Google Assistant job openings:
What are the most commonly searched types of Google jobs? The most popular types of Google jobs are:
What states have the most Google Assistant jobs? States with the most job openings for Google Assistant jobs include:
What job categories do people searching Google Assistant jobs look for? The top searched job categories for Google Assistant jobs are:
Google Assistant jobs near you
Infographic showing various Google Assistant job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.
AI Developer

AI Developer

Software People, Inc.

Lansing, MI • On-site

Contractor

Posted 29 days ago

Job description

Phone/Skype Hire. Onsite from day 1 / Hybrid

Location: Lansing, MI

Duration: 12+ months

Responsibilities

The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) for vital records within our department. The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. The application is utilized by Vital Records employees. Changes are being made to enhance the stability and functionality of the systems.The resource is integral to developing and maintaining DOC AI solution, streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the applications.  The resource also performs as a technical lead and provides technical guidance to the other developers in the department.  As a technical lead, the resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.  The resource also provides technical oversight to developers in the team that support other critical applications . Not having a resource on staff will lead to MDHSS manually documenting and developing screen plans that can lead to errors causing data integrity issues and can eventually lead to incorrect information being processed and reporting of the patient information.

Skills Needed

•             3+years in TensorFlow, PyTorch, Keras, or Scikit-learn.

•             3+ years in microservices.

•             3+years in SpaCy, NLTK, or Hugging Face’s

•             3+years in Tesseract, Google Vision API, or AWS Textract.

•             3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools

•             3+years in RESTful APIs and webhooks

•             3+years in SQL, R, and/or Pandas.

•             3+ years in cloud computing and software development.

•             3+ years software development in Python, Java, JavaScript.

•             3+  years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.

•             3+ years designing, building, and managing Google Cloud Platform (GCP) solutions.

•             3+ years in projects development using  Angular/React JS, JavaScript framework.

•             3+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.

•             3+ years using CMM/CMMI Level 3 methods and practices.

•             3+ years implemented agile development processes including test driven development.

•             3+ years' Experience creating CI/CD pipelines using Azure DevOps.

•             Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++.

•             Experience in Oracle/Data Bricks/Elastic/ELK.

•             Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas.

•             Experience in working with large datasets and data preprocessing techniques.

•             Proficiency in unit testing and integration testing for chatbot flows and APIs.

•             Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly.

•             Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces.

•             Ability to design, develop, and deploy AI and machine learning solutions.

•             Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

•             Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face’s Transformers for text-based document processing.

•             Knowledge of NLP concepts like intent recognition, entity extraction, and context management.

•             Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.

•             Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.

•             Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.

•             Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants).

•             Experience in working with RESTful APIs and webhooks to enable backend communication

•             Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.

•             Experience with Google Cloud Platform (GCP), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots.

•             Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction.

•             Familiarity with agile development methodologies and version control systems like Git.

•             Strong problem-solving and analytical skills with a focus on continuous improvement."