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Assistant Google Coding Jobs in Michigan (NOW HIRING)

Bookkeeper

Armada, MI · On-site

$17 - $21/hr

... coding; and data entry. * Conduct all duties associated with accounts receivable including ... Process cash disbursements and assists in cash management. * Assist in gathering required documents ...

... coding; and data entry. * Conduct all duties associated with accounts receivable including ... Process cash disbursements and assists in cash management. * Assist in gathering required documents ...

Sr. Cloud Engineer - Azure

Grand Rapids, MI · On-site

$53.50 - $71.50/hr

... Assist in configuring and troubleshooting Azure Compute instances, Azure Backup, Azure Storage ... in Google Cloud Platform to be the Subject Matter Expert in Azure and Google Cloud Platform ...

... assistants. * Proven track record of driving measurable organic growth through technical ... Google Search Console, Google Analytics, Adobe Analytics, SEMrush, Ahrefs, Screaming Frog ...

... assistants. * Proven track record of driving measurable organic growth through technical ... Google Search Console, Google Analytics, Adobe Analytics, SEMrush, Ahrefs, Screaming Frog ...

C++ Developer

Grand Rapids, MI · On-site

$45.50 - $61.25/hr

... or similar AI coding assistants. * Experience with AI-assisted code generation, refactoring ... Experience with unit testing frameworks such as Google Test. * Familiarity with cloud platforms or ...

C++ Developer

Grand Rapids, MI · On-site

$47 - $63.50/hr

... or similar AI coding assistants. Experience with AI-assisted code generation, refactoring ... Experience with unit testing frameworks such as Google Test. Familiarity with cloud platforms or ...

C++ Developer

Grand Rapids, MI · On-site

$47 - $63.50/hr

... or similar AI coding assistants. * Experience with AI-assisted code generation, refactoring ... Experience with unit testing frameworks such as Google Test. * Familiarity with cloud platforms or ...

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Assistant Google Coding information

How much do you get paid to code for Google?

Salaries for coding roles at Google vary depending on the position, experience, and location, but software engineers at Google typically earn between $100,000 and $200,000 annually, with additional bonuses and stock options. Entry-level roles may start lower, while senior positions can exceed this range. Google also offers comprehensive benefits and opportunities for skill development.

What is the difference between Assistant Google Coding vs Google Software Engineer?

AspectAssistant Google CodingGoogle Software Engineer
Required CredentialsRelevant coding skills, certifications, coding bootcampsBachelor's or higher in Computer Science or related field, extensive experience
Work EnvironmentCollaborative, project-based, often part-time or internshipFull-time, office or remote, team-oriented
Employer & Industry UsageGoogle projects, AI, and assistant developmentCore software development, infrastructure, product engineering
Search & Comparison IntentEntry-level, coding support, assistant rolesAdvanced software development, engineering roles

Assistant Google Coding typically involves entry-level coding tasks, support roles, or internships focused on developing and maintaining Google Assistant features. In contrast, a Google Software Engineer is a full-time professional responsible for designing, developing, and maintaining complex software systems within Google. While both roles require strong coding skills, the Software Engineer position demands more extensive experience and advanced technical expertise.

How to become a Google Assistant?

To work as an Assistant Google Coding professional, you typically need programming skills in languages like Python or Java, experience with AI and machine learning, and familiarity with Google's developer tools and APIs. Gaining relevant certifications and building a portfolio of projects can improve your chances of qualifying for such roles. Strong problem-solving skills and knowledge of natural language processing are also beneficial.

What is L3 L4 L5 in Google?

In the context of Google and similar tech companies, L3, L4, and L5 refer to different levels or seniority tiers within engineering or technical roles. L3 typically indicates entry-level or junior positions, L4 mid-level roles, and L5 senior or lead positions, with each level having specific expectations for skills, experience, and responsibilities. These levels help structure career progression and compensation within the company.

What tech jobs pay $400,000 a year?

Senior roles such as Staff Software Engineer, Principal Engineer, or Engineering Manager in large tech companies often have salaries and bonuses totaling $400,000 or more. These positions typically require extensive experience, advanced technical skills, and often involve leadership responsibilities or specialized expertise in areas like cloud computing, AI, or cybersecurity.
What are popular job titles related to Assistant Google Coding jobs in Michigan? For Assistant Google Coding jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Assistant Google Coding jobs in Michigan look for? The top searched job categories for Assistant Google Coding jobs in Michigan are:
What cities in Michigan are hiring for Assistant Google Coding jobs? Cities in Michigan with the most Assistant Google Coding job openings:
Forward Deployed Engineer, Frontier GenAI

Forward Deployed Engineer, Frontier GenAI

Deloitte

Detroit, MI

Other

Re-posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services


Job description

US E- Consulting Services- Associate Forward Deployed Engineer, Frontier GenAI

At Deloitte, Associate Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an Associate Frontier Gen AI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact Gen AI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 1+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $111,700 to $218,300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

US E- Consulting Services- Associate Forward Deployed Engineer, Frontier GenAI

At Deloitte, Associate Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an Associate Frontier Gen AI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact Gen AI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 1+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $111,700 to $218,300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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