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Applied Ai Engineer Jobs in Michigan (NOW HIRING)

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the design and delivery of next-generation AI and predictive models that transform financial decision ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

We are looking for an AI Engineer / Applied AI Developer. The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring ...

AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week onsite in Okemos. or 100% Remote: Open only to Senior-level candidates located in Eastern Time (EST). Must Have ...

Act as a technical mentor and thought leader , setting best practices for LLM engineering and applied AI. * Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied ...

Act as a technical mentor and thought leader , setting best practices for LLM engineering and applied AI. * Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied ...

AI Platform Engineer Location: Hybrid - 4 days/week onsite | Must be willing to interview in person ... Applied machine learning experience, including: * Embeddings * Classification * Clustering

Data and AI Engineer

Ann Arbor, MI · On-site

$112K - $134K/yr

You'll sit at the intersection of data engineering and applied AI ? building robust, production-grade data pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with ...

... applied analytics in real-world environments.Hands-on experience building solutions with LLMs, AI agents, RAG, tool integration, orchestration, or automation frameworks .Strong programming skills ...

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

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Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Michigan?

For Applied Ai Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Michigan look for?

The top searched job categories for Applied Ai Engineer jobs in Michigan are:

What cities in Michigan are hiring for Applied Ai Engineer jobs?

Cities in Michigan with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

AI Engineer / Applied AI Developer

1 point system

Farmington Hills, MI • On-site

Contractor

Re-posted 15 days ago


Job description

Job Role

 AI Engineer / Applied AI Developer

Location

 Hybrid – Farmington Hills, MI

(Minimum 3 days/week onsite; increasing to 4 days/week starting Summer 2026)

Duration

 Immediate need (Start within 2 weeks)

Interview

 In-person Interview

Role Summary

We are seeking a hands-on AI Engineer / Applied AI Developer with strong development expertise and a passion for building AI-powered proof-of-concepts. This role is ideal for someone who thrives in a fast-paced, research-driven environment and enjoys exploring cutting-edge AI technologies.

The ideal candidate will have strong Java and Python skills, experience working with large language models (LLMs), and the ability to rapidly prototype functional AI solutions.

Key Responsibilities
  • Design and develop AI-powered proof-of-concepts and prototype applications
  • Work with Large Language Models (LLMs) including prompt engineering and function calling
  • Integrate APIs and process structured and unstructured data
  • Collaborate in a fast-paced, research-driven team environment
  • Write clean, maintainable, and scalable code using best practices
  • Participate in version control and collaborative development using Git
  • Analyze complex problems and propose innovative AI-driven solutions
Required Technical Skills
  • Java – Advanced proficiency
  • Python – Intermediate to Advanced proficiency
  • Strong hands-on development experience
  • Experience with prompt engineering and function calling in LLMs
  • Ability to quickly build working proof-of-concepts
  • Experience integrating APIs
  • Experience handling structured and unstructured data
  • Strong analytical and critical thinking skills
  • Familiarity with Git and collaborative development workflows
Preferred / Nice-to-Have Skills
  • Experience building Agentic AI solutions
  • Experience developing conversational AI chatbots or summarization tools
  • Experience with OpenAI or similar LLM frameworks
  • Familiarity with Streamlit, FastAPI, or Flask for UI/demo development
  • Exposure to machine learning frameworks or AI cloud services

Thanks and Regards

Monu Singh Chauhan 1Point System LLC
Technical Recruiter
  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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