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Python Llm Jobs in Warren, MI (NOW HIRING)

Eccalon LLC

Full Stack Developer

Detroit, MI · On-site

You will own features end-to-end?from React front-ends and Next.js applications through Node.js/Python APIs and AWS-hosted data stores?and actively leverage LLM and AI-assisted development techniques ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Experience Required: * 4+ years of experience in Python and Machine Learning Technologies. * 2+ years of experience in Generative AI - LLM. * 3+ years of work experience as a software engineer with ...

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Python Llm information

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$55

$81

How much do python llm jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python llm in Warren, MI is $55.06, according to ZipRecruiter salary data. Most workers in this role earn between $45.38 and $62.55 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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Python Llm jobs near you
Infographic showing various Python Llm job openings in Warren, MI as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $114,523 per year, or $55.1 per hour.

AI Engineer (Google Cloud Platform, Python, BigQuery)

Northville, MI • On-site

Reliable Software Resources
1 - 5K employees
Learn more about Reliable Software Resourcesexternal

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Role: AI Engineer (Google Cloud Platform, BigQuery, Python, LLM)
Location: Northville, MI
Hire-Type: Contract
 
 
Position Summary
 
The ideal candidate will have experience developing AI-powered solutions while also building scalable data products, data pipelines, and cloud-based analytics capabilities. The role will support strategic initiatives, including Project Orion – Foundational Data Product, focused on enabling enterprise-ready finance data products and semantic-layer capabilities that support AI agents and models.
 
Key Responsibilities
  • Design and develop AI-enabled solutions that drive business value across Finance and Accounting.
  • Build and maintain scalable data pipelines, data integrations, and cloud-based data products to support analytics and AI use cases.
  • Develop Python-based solutions for data processing, automation, analytics, and AI applications.
  • Leverage Google Cloud Platform (Google Cloud Platform), BigQuery, Vertex AI, and Gemini capabilities to develop and deploy business-focused AI solutions.
  • Support the development of agentic workflows and AI-powered automation opportunities.
  • Translate business challenges into scalable technical solutions using modern data and AI technologies.
  • Design, build, and optimize datasets that support reporting, analytics, machine learning, and AI initiatives.
  • Collaborate across Analytics, Automation, AI, and IT teams to deliver solutions that can be successfully adopted and scaled.
  • Monitor, maintain, and enhance existing analytics and AI solutions to improve performance, reliability, and business impact.
 
Required Qualifications
  • Experience in AI engineering, data engineering, analytics engineering, data science, or software engineering.
  • Strong Python development skills.
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Experience working with BigQuery and cloud-based data architectures.
  • Experience developing and deploying AI or machine learning solutions.
  • Experience with Large Language Models (LLMs), Gemini, Vertex AI, or similar AI platforms.
  • Experience building and supporting enterprise data products and data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and collaborate effectively with business partners and technical teams.
 
Preferred Qualifications
  • Experience developing agentic workflows or AI-powered automation solutions.
  • Experience supporting Finance, Accounting, Reporting, Audit, or Corporate Analytics organizations.
  • Experience working with semantic models, business data products, or AI-ready data architectures.
  • Tableau experience preferred but not required.
  • Experience delivering proof of concepts and scalable production solutions.
  • Consulting or enterprise contractor experience.
 
 
 

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