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Llm Developer Jobs in Michigan (NOW HIRING)

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... Lead the design, development, and deployment of LLM-based automation solutions across multiple ...

Integrate LLM and AI capabilities into product features using the Anthropic API (Claude) and other model providers; apply prompt engineering, retrieval-augmented generation (RAG), and agentic ...

We are seeking a Principal AI Engineer with deep, hands‑on experience in Large Language Models ... Architect and implement end‑to‑end LLM systems , including: * Prompt pipelines * Agent‑based ...

Mainframe Developer

Dearborn, MI · On-site

$45.25 - $58/hr

... LLM-based development assistants.Assess software application or service requirements and determine ... Apply programming practices such as test-driven development, continuous integration, and continuous ...

Automation Integration Developer Position Summary The Automation Integration Developer supports ... Integrate AI/LLM technologies into business applications and workflows. Required Qualifications

Automation Integration Developer Position Summary The Automation Integration Developer supports ... Integrate AI/LLM technologies into business applications and workflows. Required Qualifications

Automation Integration Developer Position Summary The Automation Integration Developer supports ... Integrate AI/LLM technologies into business applications and workflows. Required Qualifications

Daily production-grade code across agent frameworks, backend/frontend, and LLM-powered workflows ... Engineering Excellence: Maintain high code quality, lead by example in reviews, conduct root-cause ...

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows Engineering Practices * Agile, Secure coding, API design ...

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Llm Developer information

See Michigan salary details

$22

$43

$69

How much do llm developer jobs pay per hour?

As of Aug 30, 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 as an LLM Developer?

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 is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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 cities in Michigan are hiring for Llm Developer jobs?

Cities in Michigan with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Michigan as of August 2026, with employment types broken down into 77% Full Time, 6% Part Time, 2% Temporary, 14% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $90,946 per year, or $43.7 per hour.

$175K - $200K/yr

Full-time

Re-posted 7 days ago


Beacon Specialized Living rating

5.5

Company rating: 5.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

173rd of 245 rated social care providers


Job description

Position Summary:
This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon's EHR, eMAR, HRIS, CRM, and incident management systems.
NOTE: **Applicants must be legally authorized to work in the United States**
Primary Responsibilities:
• Always be compliant with all company and regulatory policies and procedures.
• Design and maintain an enterprise AI Agent framework supporting:
• Task automation
• Data retrieval and summarization
• Workflow orchestration
• Human-in-the-loop approvals
• Build shared services including:
• Prompt management and versioning
• Tool and API integration layers
• Authentication, role-based access, and audit logging
Clinical AI & Client Risk Intelligence
• Develop and support LLM-powered clinical and risk-focused solutions such as:
• Behavioral and incident pattern analysis
• Medication adherence and documentation quality monitoring
• Early-warning indicators for client risk and escalation
• Integrate AI outputs into clinical workflows, dashboards, and alerts.
• Partner with clinical leadership to ensure interpretability and usability of AI insights.
LLM Engineering & MLOps
• Implement and manage LLM integrations including:
• Secure prompt pipelines
• Retrieval-Augmented Generation (RAG) using enterprise data
• Model evaluation and drift monitoring
• Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
• Optimize performance, cost, and latency across production AI workloads.
Data Integration & Platform Collaboration
• Work with Data Engineering to leverage:
• Microsoft Fabric
• Azure Data Lake
• Power BI semantic models
• Integrate data from:
• EHR and eMAR platforms
Education and Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in software engineering, data engineering, or AI engineering.
• Hands-on experience with:
• LLM APIs and orchestration frameworks
• Prompt engineering and RAG architectures
• API and microservice development

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