1

Senior Llm Developer Jobs in Michigan (NOW HIRING)

... LLM-enabled solutions, workflow automation, and enterprise integrations. This is not a pure ... guidance from senior technical team members. - Strong communication and collaboration skills ...

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

About the role We are hiring a Senior AI Engineer to build the systems that make AI agents do real ... You have taken an LLM- or agent-powered system to production and kept it running * Experience ...

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

About the role We are hiring a Senior AI Engineer to build the systems that make AI agents do real ... You have taken an LLM- or agent-powered system to production and kept it running * Experience ...

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Software Engineer

Lansing, MI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... mentorship, while senior developers drive architecture decisions and mentor others ... Comfort using LLM coding assistance such as Claude Code or OpenAI models. Nice to Have * Experience ...

... LLM AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG ... as a Senior Software Engineer with full-stack expertise and a strong portfolio of delivered ...

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Software Engineer

Lansing, MI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... mentorship, while senior developers drive architecture decisions and mentor others ... Comfort using LLM coding assistance such as Claude Code or OpenAI models. Nice to Have * Experience ...

Mainframe Software Engineer

Dearborn, MI · On-site

$54 - $60/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Senior Mainframe Software Engineer with deep expertise in mainframe application development ... Leverage GitHub Copilot, LLM-based development tools, and AI-assisted coding practices to improve ...

Mainframe Software Engineer

Dearborn, MI · On-site

$54 - $60/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Senior Mainframe Software Engineer with deep expertise in mainframe application development ... Leverage GitHub Copilot, LLM-based development tools, and AI-assisted coding practices to improve ...

Senior Software Engineer

Dearborn, MI · On-site +1

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

AI/LLM tooling - MCP servers or integrating AI assistants into developer and engineering workflows ... Today, a single person (the section supervisor) fills both the management and senior-technical-lead ...

Showing results 41-60

Senior Llm Developer information

What is a senior LLM developer?

Senior LLM Developers are experienced software engineers who specialize in building, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on advanced natural language processing (NLP) tasks, optimize model performance, and often lead teams in developing AI-driven applications. Their responsibilities include data pipeline development, model training, performance evaluation, and integrating LLMs into products. They are proficient in programming languages like Python, familiar with machine learning frameworks, and stay updated with the latest research in AI and NLP.

What are the key skills and qualifications needed to thrive as a senior LLM developer?

To thrive as a Senior LLM Developer, you need deep expertise in natural language processing, machine learning, and advanced programming skills, typically supported by a relevant degree and experience with large language models. Proficiency with frameworks like PyTorch or TensorFlow, cloud platforms (AWS, GCP, Azure), and version control systems, as well as familiarity with model fine-tuning and deployment, are essential. Strong problem-solving, communication, and collaboration skills help in leading teams and translating complex requirements into innovative solutions. These skills are crucial for building, optimizing, and maintaining robust language models that meet organizational objectives and stay ahead in a rapidly evolving field.

What are some common challenges senior LLM developers face when deploying large language models in production environments?

Senior LLM Developers often encounter challenges such as optimizing model performance for latency and scalability while maintaining accuracy. Managing resource-intensive inference and ensuring robust monitoring to detect issues like model drift or biased outputs are also key concerns. Additionally, integrating LLMs with existing systems and coordinating with cross-functional teams, such as MLOps engineers and product managers, is essential for successful deployment. Staying updated with rapidly evolving frameworks and compliance requirements adds to the complexity of the role.

What is the difference between Senior Llm Developer vs Machine Learning Engineer?

AspectSenior Llm DeveloperMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or related fields; experience with ML frameworks
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, startups, industries applying ML solutions
Industry UsagePrimarily in NLP, AI research, and language model developmentBroader across AI applications, including vision, speech, and data analysis

While both roles require strong AI and ML knowledge, Senior Llm Developers specialize in language models and NLP, whereas Machine Learning Engineers work across various AI domains. The roles often overlap but differ in focus and application areas.

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 Senior Llm Developer jobs in Michigan?

For Senior Llm Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Llm Developer jobs in Michigan look for?

The top searched job categories for Senior Llm Developer jobs in Michigan are:

What cities in Michigan are hiring for Senior Llm Developer jobs?

Cities in Michigan with the most Senior Llm Developer job openings:

Infographic showing various Senior Llm Developer job openings in Michigan as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, 15% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Full-time

Re-posted 10 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

90th of 540 rated manufacturers


Job description

Are you passionate about building practical AI solutions that can be used in real business environments?

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical Communications.
This role is part of our Digital & IT organization and is focused on applying AI through hands-on software engineering, Python development, APIs, LLM-enabled solutions, workflow automation, and enterprise integrations. This is not a pure research or model-training role. We are looking for someone who is curious, hands-on, coachable, and excited to grow in enterprise AI engineering.

What will you do?


-  Build, test, implement, and support AI-enabled applications, tools, agents, automations, and integrations.
-  Develop Python-based solutions and work with APIs, JSON payloads, model integrations, and LLM-enabled workflows.
-  Support CorningGPT integrations, AI assistant tools, chatbot-style workflows, and internal AI capabilities.
-  Assist with MCP development, Databricks workflows, and Databricks Genie Spaces use cases.
-  Partner with technical team members and business stakeholders to understand requirements and translate them into working solutions.
-  Help create user-friendly applications and interfaces for AI agents and tools.
Perform testing, debugging, documentation, troubleshooting, and post-deployment support.
-  Contribute to continuous improvement by helping create reusable patterns, cleaner documentation, and more maintainable solutions.

What do you need to have?


-  Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.
-  1–3 years of relevant experience in software engineering, AI engineering, application development, automation, integration development, or related technical solution delivery.
-  Hands-on experience with Python.
-  Familiarity working with APIs, JSON payloads, structured data, integrations, or application logic.
-  Familiarity with LLM-based applications, chatbots, AI-assisted workflows, or generative AI tools.
-  Experience building applications, automations, internal tools, scripts, integrations, or technical projects.
-  Basic understanding of software development fundamentals such as debugging, testing, version control, documentation, and maintainable coding practices.
-  Ability to learn quickly and work with guidance from senior technical team members.
-  Strong communication and collaboration skills.
-  Advanced English communication skills.


What should we offer?


-  Opportunity to join a growing AI engineering team focused on practical enterprise AI solutions.
-  Exposure to modern AI technologies, LLM applications, agents, automation, chatbot/RAG solutions, and enterprise integrations.
-  A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office presence as needed.
-  Opportunity to learn from senior engineers and grow into more advanced AI engineering responsibilities.
-  Career growth in AI engineering, application development, enterprise integrations, and AI platform enablement.


More about us


Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.Come break through with us.
Corning is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.


What Corning employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom