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Remote Large Language Model Llm Jobs in Michigan

AI Engineer

Troy, MI ยท On-site +1

$78K - $82K/yr

Experience integrating large language models via APIs, including function/tool calling and ... Experience defining evaluations or test harnesses to measure and improve LLM and tool-calling ...

ChatGPT Tutor

Detroit, MI ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

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Remote Large Language Model Llm information

What is a Remote Large Language Model (LLM) job?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a Remote Large Language Model (LLM) Engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What are the key skills and qualifications needed to thrive as a Remote Large Language Model (LLM) Engineer, and why are they important?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Michigan? The most popular types of Large Language Model Llm jobs in Michigan are:
What are popular job titles related to Remote Large Language Model Llm jobs in Michigan? For Remote Large Language Model Llm jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Remote Large Language Model Llm jobs? Cities in Michigan with the most Remote Large Language Model Llm job openings:
Infographic showing various Remote Large Language Model Llm job openings in Michigan as of June 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

AI Engineer

Detroit Defense

Troy, MI โ€ข On-site, Remote

$78K - $82K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Description

Elevate your career with Detroit Defense! Join a dynamic team dedicated to national security through cutting-edge technology. Detroit Defense is a leader in delivering advanced solutions to the Department of War (DoW). Dive into innovation in Systems Engineering, Combat Vehicle Integration, Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-Behind the Mission Beyond the Challenge!
ย 

Detroit Defense seeks a motivated, career and customer-oriented AI Engineer to join our team in Troy, MI (on-site) or remote.


The AI Engineer plays a pivotal role in advancing Detroit Defense's mission across the Department of Defense (DoD) by designing, building, and integrating intelligent systems into our software products. This position embeds conversational AI capabilities into applications-designing the interaction, connecting language models to backend tools and data, and ensuring those integrations are reliable and effective in real use-while also applying machine learning to problems spanning classification, prediction, and simulation. As a generalist comfortable moving across the AI and software stack, the AI Engineer partners closely with our software engineering team to ship production-quality features and supports their deployment, testing, and ongoing iteration.


Essential Duties and Responsibilities:

  • Integrate conversational AI assistant features into software applications, owning the experience end to end
  • Design, implement, and evaluate tool/function calling so AI assistants can reliably invoke backend capabilities and return correct, useful results
  • Write, test, and refine prompts; evaluate and improve the accuracy and effectiveness of LLM and tool-calling behavior
  • Build, train, and evaluate machine learning models for classification, prediction, and simulation tasks
  • Collaborate with software engineers to integrate AI capabilities into applications and services
  • Use Git for version control and contribute to shared team repositories
  • Document your work and communicate results clearly to technical and non-technical stakeholders
  • Support deployment, testing, and iteration of AI capabilities alongside the broader engineering team

Requirements

Required

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Engineering, Mathematics, or a related field, or equivalent practical experience
  • Experience integrating large language models via APIs, including function/tool calling and structured (e.g., JSON) outputs
  • Foundation in machine learning and data science concepts (supervised learning, model evaluation, statistics)
  • Working knowledge of Git and collaborative software development workflows (version control, branching, code review)
  • Strong problem-solving skills and the ability to work effectively on a cross-functional engineering team
  • U.S. person (per ITAR/EAR) able to obtain and maintain a U.S. Government Secret clearance


Preferred

  • Strong proficiency in Python and/or C# (depth in either is welcome; both is a plus)
  • Experience building chat/assistant interfaces or agentic systems, ideally in production
  • Familiarity with tool-calling/agent frameworks, retrieval-augmented generation (RAG), and vector databases
  • Experience defining evaluations or test harnesses to measure and improve LLM and tool-calling reliability
  • Internship, academic, or project experience building and deploying models or AI features end-to-end
  • Exposure to software engineering fundamentals: APIs, testing, CI/CD, containerization
  • Use of GitLab for issue tracking and software configuration management
  • Familiarity with secure AI/compute environments


Detroit Defense offers an impressive compensation and benefits package including:

  • Medical, ย Dental & Vision Benefits
  • Company Paid Life and AD&D
  • Company Paid Short Term and Long-Term Disability
  • Flexible Spending & HSA Accounts
  • Legal & ID Shield Services
  • 401k with Company Match
  • Paid Holidays
  • Paid Time Off (PTO)

Why Detroit Defense:
At Detroit Defense, we deliver mission-critical solutions that enhance national security, protect the warfighter, and enable readiness through innovation, technical excellence, and end-to-end lifecycle support.ย 


Remaining steadfast in our core values of Trustworthy, Mission Driven, Creative, and Agile we are a complex systems integrator for the U.S. Government, Detroit Defense provides solutions to meet the technical and programmatic challenges faced by our customers. Our proven success in multi-domain cross-platform system-of-systems integration results in fielded capability for warfighters. From R&D to production, fielding, and sustainment, Detroit Defense provides services and solutions to Empower Those That protect Us.


Veterans Encouraged to Apply: Detroit Defense proudly supports those who have served. We welcome applicants with military experience, including those transitioning to civilian careers. Your leadership, adaptability, and mission-focused mindset are valued here.ย 


Detroit Defense is a proud recipient of the Hire Vets Gold Medallion Award since 2022.


Detroit Defense is an Equal Opportunity/Affirmative Action employer. All qualified applicants will be considered without regard to race, color, religion, national origin, sex (including gender identity or gender expression), age, mental or physical disability, creed, ancestry, citizenship, veteran status, marital status, sexual orientation, medical condition, genetic trait or any other characteristic protected by federal, state or local law.