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Python Llm Jobs in Warren, MI (NOW HIRING)

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Lead the design, development, and deployment of LLM-based automation solutions across multiple ... Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

... clients an LLM-native way to work with complex loyalty logic. We're looking for a hands-on AI ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

Develop automated test pipelines for LLM-based features, including hallucination detection ... Strong proficiency in Python and testing/automation frameworks (pytest, Robot Framework, or ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

... clients an LLM-native way to work with complex loyalty logic. We're looking for a hands-on AI ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Kobie Marketing

AI Engineer

Detroit, MI

... clients an LLM-native way to work with complex loyalty logic. We're looking for a hands-on AI ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

TEKsystems c/o Allegis Group

AI/ML Engineer

Dearborn, MI · On-site

$50 - $75/hr

Strong Python, FastAPI, asynchronous programming, API design, Docker, and modern web-development skills. Experience with LLM applications, RAG architectures, vector search, model evaluation, tracing ...

New

TEKsystems

AI/ML Engineer

Dearborn, MI · On-site +1

$50 - $75/hr

Strong Python, FastAPI, asynchronous programming, API design, Docker, and modern web-development skills. * Experience with LLM applications, RAG architectures, vector search, model evaluation ...

New

X by 2

Technical Lead (Applied AI)

Detroit, MI · On-site

... Python, Java, C#, JavaScript) * Define and enforce coding standards, best practices, and design ... Design and develop LLM-powered workflows and agentic systems that help users complete complex tasks ...

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Showing results 21-40

All JobsPython Llm JobsPython Llm Jobs in Warren, MI

Python Llm information

See Warren, MI salary details

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$55

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How much do python llm jobs pay per hour?

As of Aug 21, 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, 84% Full Time, 8% Part Time, 5% Contract, and 2% Nights. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $114,523 per year, or $55.1 per hour.

Principal AI Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 15 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.

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