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Llm Developer Jobs in Michigan (NOW HIRING)

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

VDart

Technical Architect - AI

Detroit, MI · On-site

$60.50 - $73.25/hr

... LLM Engineering • Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use • Define patterns for ReAct ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Design and develop innovative ML models, Gen AI systems, and software algorithms - including LLM ... Familiarity with data engineering concepts and practices. Expertise in prompt engineering ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop innovative ML models, Gen AI systems, and software algorithms -- including LLM ... Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. * 10+ years in IT ...

SynergisticIT

Junior Java/C++ Developer

Detroit, MI · On-site

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... AI, LLM, Python, computer vision, data visualization tools excellent written and verbal ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

FastTek Global

Senior PLM Developer

Dearborn, MI · On-site

Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ... Data Engineering work experience in PLM Domain Key Responsibilities: · Migration Tooling ...

MeganSoft

PLM Developer

Dearborn, MI · On-site

Senior PLM Developer to architect and build a next-generation migration pipeline from Teamcenter to ... Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ...

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Llm Developer information

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$22

$43

$69

How much do llm developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for llm developer in Michigan is $43.72, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $53.03 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are the most commonly searched types of Llm Developer jobs in Michigan? The most popular types of Llm Developer jobs in Michigan are:
What are popular job titles related to Llm Developer jobs in Michigan? For Llm Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Llm Developer jobs in Michigan look for? The top searched job categories for Llm Developer jobs in Michigan are:
What cities in Michigan are hiring for Llm Developer jobs? Cities in Michigan with the most Llm Developer job openings:
Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Michigan as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $90,946 per year, or $43.7 per hour.
Machine Learning and AI Developer

Machine Learning and AI Developer

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 24 days ago

Job description


We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.
In this role...
Ford Motor Company is seeking Machine Learning and AI Developers to join the Connected Vehicle Division in support of the Telemetry and Observability Platform (TOP). In this role, you will be at the center of Ford's AI engineering capability, overseeing vendor fine-tuning operations, designing Ford's internal orchestration layer, and driving measurable improvements in AI engine performance across dealer service, manufacturing, and validation workflows.
Responsibilities
What you'll do..
  • Support Ford's AI and ML engineering capability within the TOP platform, including model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation
  • Oversee vendor fine-tuning of Google Cloud Vertex AI using Ford proprietary diagnostic data, ensuring compliance with Ford's IP protection requirements and model weight storage architecture
  • Design and build Ford's Orchestration Layer. The integration framework that connects external AI engine with other Ford internal AI engines and TOP platform services
  • Evaluate AI engine outputs against defined accuracy, latency, and first-time fix rate metrics; drive iterative improvement through structured feedback loops
  • Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations, ensuring clinical accuracy before dealer-facing deployment
  • Build internal Ford tooling for model monitoring, drift detection, and retraining triggers within Ford's GCP environment
  • Collaborate with Ford's data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
  • Partner with the Ford GCP Cloud Engineers to ensure model artifact storage, versioning, and access controls comply with Ford's IP and security policies
  • Contribute to the long-term insourcing roadmap by documenting model architectures, training pipelines, and prompt frameworks in sufficient detail to enable internal replication
  • Represent AI and ML engineering in architecture reviews and vendor technical discussions.

Qualifications
You'll have...
  • Bachelor's degree in computer science, computer engineering or a combination of education and equivalent work experience.
  • 5+ years of professional experience in machine learning engineering, AI systems development, or applied AI research
  • 3+ years Hands-on experience fine-tuning LLMs in a cloud environment, with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
  • 2+ years of experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
  • 4+ years of Proficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments
  • 3+ years of experience designing and evaluating LLM outputs for production systems, including prompt engineering, retrieval-augmented generation (RAG) architectures, and model evaluation metrics
  • 5+ years of Strong understanding of MLOps practices including model versioning, deployment pipelines, monitoring, and retraining workflows on GCP
  • 4+ years Experience working in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
  • Strong written and verbal communication skills; ability to translate technical AI concepts for non-technical executive stakeholders

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is a salary grade 6-8 and ranges from $85,400- 192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regar d to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location will be required to be onsite four or more days per week.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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