ZipRecruiter

Log In

1

Level Ai Jobs in Michigan (NOW HIRING)

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

Mid-Level AI Engineer / AI Developer Position Summary: We are seeking a Mid-Level AI Engineer to design, develop, and deploy AI-powered applications and services. This role will work closely with ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Our client is currently seeking a Mid-Level AI Engineer / AI Developer Location: Ann Arbor, MI (100% Onsite for the first 6 months; Hybrid: 4 days onsite, 1 day remote of your choice thereafter ...

Crowe LLP

AI Enablement Manager

Grand Rapids, MI

Own a multi-level AI training curriculum spanning foundational to advanced skills across the firm's tool portfolio (e.g., ChatGPT Enterprise, Microsoft Copilot, Claude). Design, facilitate, and ...

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

As a Mid-Level AI Software Test Engineer, you will be a critical contributor to the development and deployment of robust AI solutions. You will own the end-to-end testing and automation efforts ...

Infinitice, LLC

AI Speciailist

Pontiac, MI · On-site

Experience Level Mid-Senior level. Candidates should have demonstrated experience applying AI, machine learning, analytics, innovation strategy, or technology adoption practices in a professional ...

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

Mid-Senior Level Job Overview Key Responsibilities * Design, develop, and deploy AI solutions that enhance business processes, improve decision-making, and drive measurable innovation * Collaborate ...

Wolverine Staffing

AI Specialist

Pontiac, MI

AI Specialist * Leads the design, development, and launch of an AI innovation program by assessing ... Experience Level: Mid-Senior * Duration: 3 months Initial Contract * Environment: Python, R ...

Tech Tammina LLC

AI Engineer

Okemos, MI · On-site

Job Title: AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week ... Open only to Senior-level candidates located in Eastern Time (EST). Must Have Technical Skills:

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

Salary Career Level: T4 Job ID: R-54305-2026 Description & Requirements About the Role As the Principal AI Engineer, you will act as the technical leader for AI solution design, implementation, and ...

OneStream

AI Engineer

Birmingham, MI · On-site

AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision ... Comfortable engaging and presenting to C-level executives from time to time. Who We Are OneStream ...

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Comfortable engaging and presenting to C-level executives from time to time. Who We Are OneStream ...

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Comfortable engaging and presenting to C-level executives from time to time. Who We Are OneStream ...

OneStream

AI Engineer

Birmingham, MI · On-site

AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision ... Comfortable engaging and presenting to C-level executives from time to time. Who We Are OneStream ...

Resource Point LLC

AI Architect

Detroit, MI · On-site

Job Title: AI Architect Location: Detroit, MI Duration:12 Months contract * Experience in ... Education Level: Bachelor's Degree in Computer Science, Information Technology, or related field

BS&A Software

AI Portfolio Analyst

Lansing, MI · On-site

... level improvement, or governed production AI solution. • Facilitate scoring and prioritization of initiatives with business leaders using the CoE's evaluation model, ensuring decisions are ...

next page

Showing results 1-20

All JobsLevel Ai JobsLevel Ai Jobs in Michigan

Level Ai information

See Michigan salary details

$9.6K

$75.5K

$98.5K

How much do level ai jobs pay per year?

As of Jul 29, 2026, the average yearly pay for level ai in Michigan is $75,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $93,700.00 per year, depending on experience, location, and employer.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is a Level AI Engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What is the salary of level AI?

The salary for a Level AI role varies depending on experience, location, and industry, but entry-level positions typically start around $70,000 to $100,000 annually. More experienced professionals or specialized roles can earn upwards of $150,000 or more, especially in tech hubs or companies requiring advanced skills in machine learning and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, which offers compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in data science, deep learning, and experience with AI tools and frameworks, along with a strong track record of innovation or leadership in the field.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

What is the most entry-level AI job?

An entry-level AI job is often a Data Labeler or Data Annotator, responsible for preparing and labeling data for machine learning models. These roles typically require basic computer skills, attention to detail, and familiarity with data annotation tools, and they serve as a starting point for careers in AI development.

What are the key skills and qualifications needed to thrive as a Level AI (Artificial Intelligence) Engineer, and why are they important?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

Is Level AI a good company?

Level AI is a technology company specializing in AI and machine learning solutions. The company's reputation depends on factors such as employee reviews, work environment, and growth opportunities, which vary by individual experience. Job seekers should research current reviews and company culture to assess if it aligns with their career goals.
What are popular job titles related to Level Ai jobs in Michigan? For Level Ai jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Level Ai jobs in Michigan look for? The top searched job categories for Level Ai jobs in Michigan are:
What cities in Michigan are hiring for Level Ai jobs? Cities in Michigan with the most Level Ai job openings:
Level Ai jobs near you
Infographic showing various Level Ai job openings in Michigan as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $75,538 per year, or $36.3 per hour.
Mid-Level AI Software Test Engineer

Mid-Level AI Software Test Engineer

Indotronix International Corporation

Ann Arbor, MI • On-site

Full-time

Posted 23 days ago

Job description

Mid-Level AI Software Test Engineer | Ann Arbor, Michigan, United States
Mid-Level AI Software Test Engineer
Position Summary
We are seeking a Mid-Level AI Software Test Engineer to lead the quality assurance, validation, and automation efforts for AI-powered applications, machine learning systems, AI agents, copilots, and generative AI solutions. This role combines traditional software quality engineering practices with emerging AI testing methodologies to ensure AI systems are accurate, reliable, secure, scalable, and production-ready.
The ideal candidate has a strong foundation in software testing and automation, along with experience or exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP) integrations, and machine learning platforms. This role plays a critical part in establishing AI quality standards, evaluation frameworks, governance controls, and automated testing capabilities across the AI development lifecycle.
Professional Experience:
  • 3-6 years of software quality engineering, QA automation, or software testing experience.
  • 1-3 years of experience or practical exposure to AI, machine learning, or generative AI technologies preferred

Work Style:
This role is expected to operate with moderate independence, owning AI testing initiatives from planning through execution while collaborating closely with engineers, architects, product teams, and stakeholders to deliver high-quality AI solutions.
Mid-Level AI Software Test Engineer
(Also known as: AI Quality Engineer, Generative AI Test Engineer, AI Automation Engineer, AI Validation Engineer, SDET-AI)
Key Responsibilities
AI Quality Engineering
  • Develop and execute comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI-generated outputs for accuracy, consistency, relevance, reliability, and safety.
  • Design and perform functional, integration, end-to-end, regression, and performance testing for AI-powered solutions.
  • Create and maintain test cases for prompt-driven applications, AI agents, RAG systems, and workflow orchestration platforms.
  • Validate AI guardrails, business rules, permissions models, compliance requirements, and governance controls.
  • Conduct adversarial, negative, and edge-case testing to identify hallucinations, unsafe behavior, model drift, and failure scenarios.
  • Establish quality benchmarks and acceptance criteria for AI solutions.

Test Automation & Evaluation
  • Design, build, and maintain automated test frameworks for AI applications and services.
  • Develop automated evaluation pipelines to assess AI responses, workflows, and model behavior.
  • Integrate AI testing processes into CI/CD pipelines.
  • Implement automated quality scoring, benchmarking, and regression detection capabilities.
  • Create reusable test datasets, simulators, mocks, and validation frameworks to support scalable testing.

Platform & Integration Testing
  • Test AI agents, copilots, APIs, workflow engines, MCP integrations, and tool-calling capabilities.
  • Validate integrations with enterprise systems, external APIs, databases, and knowledge repositories.
  • Verify performance, reliability, scalability, resiliency, and availability of AI workloads.
  • Execute load, stress, and performance testing for AI applications and services.
  • Identify, document, and troubleshoot defects across application, infrastructure, model, and integration layers.

Collaboration & Continuous Improvement
  • Partner closely with software engineers, AI engineers, solution architects, product owners, and security teams.
  • Participate in solution design reviews and provide quality-related recommendations early in the development lifecycle.
  • Contribute to testing standards, methodologies, best practices, and AI quality frameworks.
  • Support production readiness reviews, defect triage, root cause analysis, and continuous improvement initiatives.
  • Promote responsible AI practices and help ensure alignment with organizational governance, privacy, risk, and compliance requirements.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, quality assurance, quality engineering, or test automation.
  • Experience developing automated testing solutions using one or more of the following:
    • Python
    • Java
    • JavaScript / TypeScript
    • C#
  • Experience with API testing and automation frameworks.
  • Strong understanding of:
    • Test automation methodologies
    • Software Development Lifecycle (SDLC)
    • Agile development practices
    • CI/CD pipelines and DevOps principles
  • Experience testing distributed systems, web applications, APIs, and enterprise platforms.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.

Preferred Qualifications
  • Experience testing:
    • Generative AI applications
    • LLM-based systems
    • AI agents and autonomous workflows
    • Retrieval-Augmented Generation (RAG) solutions
    • MCP-based integrations
  • Familiarity with leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing AI evaluation, benchmarking, and validation frameworks.
  • Experience testing cloud-native applications on:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (GCP)
  • Knowledge of:
    • Responsible AI principles
    • AI governance frameworks
    • AI risk management and compliance practices
    • Privacy and security considerations for AI systems

Required Skills : • Experience testing: o Generative AI applications o LLM-based systems o AI agents o RAG applications o MCP-based integrations • Familiarity with: o OpenAI o Claude o Gemini o Azure OpenAI • Experience building evaluation and benchmarking frameworks for AI solutions. • Experience testing cloud-native applications on Azure, AWS, or GCP. • Knowledge of responsible AI, AI governance, and AI risk management practices. AI initiatives are typically expected to align with enterprise governance, risk, privacy, and compliance requirements. Technical Skills
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship :Yes
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

View All Indotronix Jobs

Apply