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Python Llm Jobs in Warren, MI (NOW HIRING)

Socket.dev

Junior AI/ML Engineer

Auburn Hills, MI · On-site

Components of agentic solutions combining LLM and other systems * Write clean, maintainable, and testable code (primarily Python), responding constructively to code review * Use the team's shared AI ...

Stellantis

Junior AI/ML Engineer

Auburn Hills, MI · On-site

Components of agentic solutions combining LLM and other systems * Write clean, maintainable, and testable code (primarily Python), responding constructively to code review * Use the team's shared AI ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

Python and Java (intermediate to advanced proficiency) * Ability to quickly build working proof-of ... Experience with OpenAI or similar LLM frameworks * Familiarity with Streamlit, FastAPI, or Flask ...

Smart Data

2368 AI Software Engineer III

Cincinnati, OH · Remote

$56 - $75.50/hr

Python * Terraform * TypeScript * Familiarity with LLM integration patterns -- prompt injection detection, guardrail design, or output filtering * AWS Bedrock is a PLUS! What You'll Do We are looking ...

Stellantis

Junior AI/ML Engineer

Auburn Hills, MI · On-site

Components of agentic solutions combining LLM and other systems * Write clean, maintainable, and testable code (primarily Python), responding constructively to code review * Use the team's shared AI ...

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How much do python llm jobs pay per hour?

As of Sep 13, 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.

Junior AI/ML Engineer

Auburn Hills, MI • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 6 days ago

Job description

Role Summary:

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML solutions under the guidance of senior engineers. This role is engineering-first, applying data science and machine learning as tools within well-engineered software systems.

Engineers at this level focus on well-defined implementation tasks within a larger solution, learning the full lifecycle — design, development, validation, and production handoff — through pairing, code review, and structured mentoring.

AI & ML Development:

  • Implement ML models and components against established designs, using structured, time-series, and unstructured data

  • Run and document model validation, evaluation, and error analysis under senior guidance

  • Build familiarity with the team's AI/ML techniques and how they are applied to engineering, quality, and product use cases

Software & Systems Engineering:

  • Contribute production-quality code to AI systems, including:

  • Data pipelines and feature engineering

  • Model training and inference services

  • Components of agentic solutions combining LLM and other systems

  • Write clean, maintainable, and testable code (primarily Python), responding constructively to code review

  • Use the team's shared AI/ML components and engineering frameworks

Delivery & Execution:

  • Deliver well-scoped implementation tasks reliably, escalating blockers early

  • Participate in requirement clarification and solution iteration with the team

  • Support preparation of solutions for operationalization in partnership with MLOps teams

Growth Expectations:

  • Progress toward independent ownership of implementation tasks end-to-end

  • Develop breadth across data, modeling, and software concerns

  • Actively seek and apply feedback from senior engineers

Qualifications Basic Qualifications:
  • Bachelor's degree in engineering, computer science, applied mathematics, or a related field
  • A minimum of 1 year of experience

  • Solid software engineering fundamentals

  • Exposure to machine learning through coursework, internships, or projects

  • Proficiency in Python; familiarity with common ML libraries

  • Willingness to work across data, modeling, and software concerns

Preferred Qualifications:

  • Internship or project experience deploying ML in real systems

  • Exposure to cloud-based data or ML platforms

  • Interest in LLM-based and agentic solutions

  • Familiarity with software delivery practices (version control, CI, testing)

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