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Llm Developer Jobs in Rochester Hills, MI (NOW HIRING)

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

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 ...

Eccalon LLC

Full Stack Developer

Detroit, MI · On-site

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 ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Stefanini

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 ...

Stefanini

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 ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

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 ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit ... Development, DevOps etc. * Experience in creating an API service with Fast API / Flask.

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Develop automated test pipelines for LLM-based features, including hallucination detection ...

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for llm developer in Rochester Hills, MI is $46.17, according to ZipRecruiter salary data. Most workers in this role earn between $36.30 and $55.96 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 Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.

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Llm Developer jobs near you

Principal AI Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 8 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 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.

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