ZipRecruiter

Log In

1

Professional Llm Developer Jobs in Michigan (NOW HIRING)

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

A minimum of 8 years of professional experience in software engineering, AI, or machine learning, including a minimum of 3 years of significant hands-on work on LLM-based systems . * Proven ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Architect and implement end‑to‑end LLM systems , including: * Prompt pipelines * Agent‑based ... A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...

JNS

Automation Integration Developer

Ann Arbor, MI · On-site

$23 - $28/hr

Automation Integration Developer Position Summary The Automation Integration Developer supports ... LLM technologies into business applications and workflows. Required Qualifications * Professional ...

JNS

Automation Integration Developer

Ann Arbor, MI · On-site

$23 - $28/hr

Automation Integration Developer Position Summary The Automation Integration Developer supports ... LLM technologies into business applications and workflows. Required Qualifications * Professional ...

JNS

Automation Integration Developer

Ann Arbor, MI · On-site

$23 - $28/hr

Automation Integration Developer Position Summary The Automation Integration Developer supports ... LLM technologies into business applications and workflows. Required Qualifications * Professional ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

... professional software engineering experience with demonstrated hands-on coding proficiency.Demonstrable experience building AI-powered applications or operating LLM-based systems in production ...

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop ... years of professional software development experience * Strong programming skills in Python ...

Waggoner Financial

Software Engineer

Lansing, MI · On-site

Experience building and shipping real software in TypeScript or JavaScript, whether professional ... Comfort using LLM coding assistance such as Claude Code or OpenAI models. Nice to Have * Experience ...

Waggoner Financial

Software Engineer

Lansing, MI · On-site

$105 - $140/hr

Experience building and shipping real software in TypeScript or JavaScript, whether professional ... Comfort using LLM coding assistance such as Claude Code or OpenAI models. Nice to Have * Experience ...

Waggoner Financial

Software Engineer

Lansing, MI · On-site

Experience building and shipping real software in TypeScript or JavaScript, whether professional ... Comfort using LLM coding assistance such as Claude Code or OpenAI models. Nice to Have * Experience ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site

$111K - $147K/yr

Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG ... Advanced GCP & DevOps: GCP Certification (e.g., Professional Cloud Architect or DevOps Engineer ...

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI · On-site

... LLM-powered solutions in client or production environments * 1+ years of experience with AWS AI ... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ...

next page

Showing results 1-20

All JobsProfessional Llm Developer JobsProfessional Llm Developer Jobs in Michigan

Professional Llm Developer information

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

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

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

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

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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 Professional Llm Developer jobs in Michigan?

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

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

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

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

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

Professional Llm Developer jobs near you

Principal AI Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 16 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models (LLMs) to lead the design, development, and deployment of enterprise-grade AI-powered automation systems across the organization.
This role goes beyond experimentation. You will own and deliver production-scale AI solutions, analyze complex internal workflows, identify high-value automation opportunities, and architect intelligent systems that materially improve efficiency, accuracy, and scalability.
This position is ideal for a seasoned engineer (10+ years) who combines strong technical depth, architectural judgment, and a product mindset, and who enjoys building practical, high-impact AI systems used at scale.
KEY RESPONSIBILITIES:
  • Lead the design, development, and deployment of LLM-based automation solutions across multiple business functions.
  • Work closely with cross-functional teams to define problem statements, data requirements, system boundaries, and solution approaches.
  • Architect and implement end-to-end LLM systems, including:
    • Prompt pipelines
    • Agent-based architectures
    • Retrieval-Augmented Generation (RAG) systems
    • Internal AI services and APIs
  • Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise systems and products.
  • Drive model evaluation, prompt optimization, and system reliability improvements based on real-world usage.
  • Establish and maintain monitoring, logging, and evaluation frameworks for LLM-driven applications.
  • Partner with product, operations, security, and engineering teams to map workflows and identify high-ROI automation opportunities.
  • Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
  • 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 research-and translate them into pragmatic solutions.

Basic Qualifications:
  • Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field
  • A minimum of 8 years of professional experience in software engineering, AI, or machine learning, including a minimum of 3 years of significant hands-on work on LLM-based systems.
  • Proven, production experience with Large Language Models, including:
    • Prompt engineering and prompt optimization
    • Model integration and orchestration
    • Evaluation and reliability tuning
  • Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, similar ecosystems).
  • Solid background in deep learning and applied machine learning.
  • Strong analytical and mathematical foundation relevant to ML systems.
  • Experience designing systems that balance performance, scalability, cost, and accuracy.
  • Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders.
  • Strong written and spoken English.

Preferred Qualifications:
  • Master's degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or equivalent professional experience).
  • PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields.
  • Experience building meaningful visualizations and explaining model behavior and results.
  • Background in data mining, analytics, or decision-support systems.
  • Experience with regression, supervised and unsupervised learning, and applied ML in production contexts.
  • Prior experience with automotive, IoT, or large-scale industrial data.
  • Contributions to open-source projects or published technical work.
  • Experience operating AI systems under enterprise governance, security, and compliance constraints.

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply