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Llm Developer Jobs in Michigan (NOW HIRING)

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... LLM tasks, focusing on Mach1ML adoption and AI/ML democratization. Skills Required: • Work ... DevOps etc. • Experience in creating an API service with Fast API / Flask. • Experience ...

Corning

$111K - $146K/yr

Develop Python-based solutions and work with APIs, JSON payloads, model integrations, and LLM ... Help create reusable patterns, improve engineering practices, and mentor less experienced engineers ...

Corning

... LLM-enabled solutions, Agile delivery, and platform integration. This is not a pure research or ... Guide AI Engineers and Senior AI Engineers across multiple AI initiatives, helping ensure quality ...

Corning

$93K - $122K/yr

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... LLM-enabled solutions, Agile delivery, and platform integration. This is not a pure research or ...

Stefanini Group

Backend Developer

Dearborn, MI

Experience integrating with LLM inference APIs or AI engine backends. * Familiarity with automotive data formats or telematics data structures. * Google Cloud Professional Cloud Developer ...

Stefanini Group

Backend Developer

Dearborn, MI · On-site

Experience integrating with LLM inference APIs or AI engine backends. * Familiarity with automotive data formats or telematics data structures. * Google Cloud Professional Cloud Developer ...

Stefanini Group

Backend Developer

Dearborn, MI · On-site

$61 - $66/hr

Experience integrating with LLM inference APIs or AI engine backends. * Familiarity with automotive data formats or telematics data structures. * Google Cloud Professional Cloud Developer ...

Stefanini Group

Backend Developer

Dearborn, MI · On-site

Experience integrating with LLM inference APIs or AI engine backends. * Familiarity with automotive data formats or telematics data structures. * Google Cloud Professional Cloud Developer ...

Stefanini

Backend Developer

Dearborn, MI · On-site

Experience PreferredExperience integrating with LLM inference APIs or AI engine backends ... Google Cloud Professional Cloud Developer certification.Familiarity with OpenAPI specification and ...

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 ...

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How much do llm developer jobs pay per hour?

As of Jul 21, 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 is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

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 engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

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 LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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 July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 1% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $90,946 per year, or $43.7 per hour.
AI engineer

AI engineer

EPSoft Technologies

Dearborn, MI • On-site

$89K - $122K/yr

Full-time

Posted 28 days ago

Job description

Job Title: AI engineer

Location: Dearborn, MI,48120- 2 days onsite in a week

Employment Type: Full-time

Position Description:

GDI&A is looking for a Software Engineer focused on building and driving the strategy forward for our internal AI/ML platform. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with business partners, product managers and designers, and will release early and often. The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (Ford’s AI/ML platform similar to Uber’s Michelangelo, Facebook’s FBLearner, etc) on GCP journey or other ML Engineering / MLOps / Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization.

Skills Required:

• Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology.

• Work with other Software and ML Engineers to tackle challenging AI problems.

• Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery.

• Leverage latest ML and GCP technologies.

• Work with Architects to make technical decision on tools, integration, and other issues.

• Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform

• Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues.

• Grow technical capabilities / expertise and provide guidance to other software engineers on the team.

Skills Preferred:

• Experience working with Google Cloud platform.

• Experience with Python and have used Machine Learning algorithms (pytorch, NLP etc) .

• Experience using orchestration tools like Airflow and have knowledge of Infrastructure as code (Terraform).

• Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts, Kubernetes (k8).

• Experience with Generative AI – LLM and building frontend with React / Chainlit / Streamlit.

• Experience in supporting continuous improvement by investigating development alternatives.

• Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.

• Experience in creating an API service with Fast API / Flask.

• Experience applying Agile practices to solution delivery.

• Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.

• Open to learning new technology.

• Strong communication and presentation skills, ability to share/teach others, work collaboratively with others.

• Good understanding of cloud design considerations and limitations and impact of pricing.

Experience Required:

• 4+ years of experience in Python and Machine Learning Technologies.

• 2+ years of experience in Generative AI - LLM.

• 3+ years of work experience as a software engineer with exceptional software engineering knowledge.

• Experience working with Google Cloud Platform or other cloud experience. CICD tools (Tekton / Cloud Build / Airflow etc.) experience.