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Level Ai Jobs in Michigan (NOW HIRING)

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 ...

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 ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... level of individual subsections. * Author rubrics: break a section of law into a checklist of ...

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Level Ai information

See Michigan salary details

$9.6K

$75.5K

$98.5K

How much do level ai jobs pay per year?

As of Aug 23, 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 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 are the key skills and qualifications needed to thrive as a Level AI engineer?

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.

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 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.

Do entry-level artificial intelligence jobs exist?

Yes, entry-level artificial intelligence jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often include titles like AI analyst, junior data scientist, or machine learning engineer and may require familiarity with tools such as Python, TensorFlow, or scikit-learn.

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 cities in Michigan are hiring for Level Ai jobs?

Cities in Michigan with the most Level Ai job openings:

Infographic showing various Level Ai job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $75,538 per year, or $36.3 per hour.

Mid-Level AI Engineer / AI Developer

Apex Systems

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

Job#: 3041033
Job Description:
Mid-Level AI Engineer / AI Developer
Position Summary
We are seeking a Mid-Level AI Engineer to design, develop, deploy, and support AI-powered applications and services that deliver business value at scale. This role works closely with software engineers, product managers, architects, data teams, and business stakeholders to build enterprise-grade AI solutions using modern machine learning techniques, generative AI platforms, agent frameworks, and cloud-native software engineering practices.
Experience Level
Professional Experience
  • 3-6 years of software engineering or application development experience.
  • 2+ years of hands-on experience delivering AI, machine learning, or Generative AI solutions.

Key Responsibilities
AI Application Development
  • Design, develop, test, deploy, and maintain AI-enabled applications and services.
  • Build and integrate Generative AI solutions using Large Language Models (LLMs) and foundation models.
  • Develop AI-powered copilots, assistants, conversational experiences, and enterprise automation solutions.
  • Engineer scalable AI workflows that leverage prompt orchestration, tool usage, and agent-based interactions.
  • Translate business requirements into secure, reliable, and maintainable technical solutions.

Generative AI & Agent Engineering
  • Develop AI agents, tools, workflows, and orchestration frameworks.
  • Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions.
  • Build and maintain MCP (Model Context Protocol) integrations, tool-calling frameworks, and multi-agent systems.
  • Create and optimize prompts, system instructions, and evaluation processes to improve AI performance and reliability.
  • Evaluate model behavior and implement strategies for improving response quality, grounding, and accuracy.

Software Engineering & Platform Development
  • Build APIs, microservices, and backend services that support AI workloads.
  • Develop reusable components and services that enable scalable AI capabilities across the organization.
  • Apply software engineering best practices including code reviews, testing, documentation, and version control.
  • Participate in architectural design and technical decision-making for AI solutions and platforms.
  • Ensure AI services meet performance, scalability, security, and availability requirements.

AI Operations & Optimization
  • Evaluate, benchmark, and optimize AI models for quality, latency, reliability, and cost efficiency.
  • Implement automated testing, monitoring, logging, and observability for AI applications.
  • Support AI systems in production environments and participate in troubleshooting, incident response, and root cause analysis.
  • Monitor application performance and implement continuous improvements based on usage and operational insights.
  • Establish evaluation frameworks and performance benchmarks for AI systems.

Governance, Security & Compliance
  • Implement responsible AI practices and enterprise governance requirements.
  • Ensure AI solutions comply with security, privacy, and regulatory requirements.
  • Apply guardrails, content controls, identity management, and access controls where appropriate.
  • Collaborate with security, compliance, and architecture teams to mitigate risks associated with AI deployments.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 3-6 years of software development experience.
  • Minimum 2 years of experience developing AI, machine learning, or Generative AI solutions.
  • Strong programming skills in one or more of the following:
    • Python
    • Java
    • C#
    • JavaScript / TypeScript
  • Experience designing and developing RESTful APIs and distributed services.
  • Experience working with cloud platforms including:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (Google Cloud Platform)
  • Solid understanding of software engineering fundamentals, including:
    • Object-oriented design
    • Design patterns
    • Automated testing
    • CI/CD pipelines
    • Application security
    • Monitoring and observability
  • Experience working within Agile software development environments.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications
  • Experience working with industry-leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing:
    • AI agents
    • Agent orchestration platforms
    • MCP-based integrations
    • Tool-calling frameworks
    • Multi-agent workflows
  • Experience implementing RAG architectures and enterprise knowledge search solutions.
  • Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval systems.
  • Experience with prompt engineering, prompt evaluation, and AI benchmarking frameworks.
  • Experience with containerization and orchestration technologies, including:
    • Docker
    • Kubernetes
    • Cloud Run
  • Experience deploying and operating cloud-native applications.
  • Knowledge of Responsible AI, AI governance, and enterprise AI risk management practices.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.