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Python Llm Jobs in Warren, MI (NOW HIRING)

Ford Motor Company

Senior Software Engineer

Allen Park, MI · Remote

$111K - $147K/yr

Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG ... Python (highly preferred for AI/Data) and/or Java. 3+ years of hands-on experience with Google ...

Ford Motor Company

Software Engineer

Redford, MI · On-site

Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js ... AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to ...

X by 2

Technical Lead (Applied AI)

Detroit, MI · On-site

... Python, Java, C#, JavaScript) * Define and enforce coding standards, best practices, and design ... LLM Prompt Engineering & Fine‑Tuning: designing and evaluating effective prompts, system ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... using Python and TensorFlow - Integrating data from various sources to create unified views for ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

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All JobsPython Llm JobsPython Llm Jobs in Warren, MI

Python Llm information

See Warren, MI salary details

$12

$55

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How much do python llm jobs pay per hour?

As of Sep 12, 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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What job categories do people searching Python Llm jobs in Warren, MI look for?

The top searched job categories for Python Llm jobs in Warren, MI are:

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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.

Software Engineer (Agentic AI Applications)

Detroit, MI

Rock Connections
Telecommunications • 1 - 5K employees
Learn more about Rock Connectionsexternal

Full-time

Re-posted 22 days ago

Key responsibilities

  • Build and ship full-stack features from design through implementation, release, measurement, and iteration.

  • Contribute to agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features.

  • Help build evaluation, observability, and guardrail mechanisms for AI agents to ensure reliability, safety, and measurable quality.

Job description

As a Software Engineer, you will help build and scale a newly launched AI-first product with direct revenue impact. Our platform analyzes client communications and engagement signals to help mortgage bankers, the sales professionals who guide clients through home financing, focus on the clients most likely to convert. You'll build agentic AI applications: systems where agents reason, plan, use tools, and act on their own to drive real business outcomes.

This role is for an engineer who wants to ship real product: building features across the stack, deploying to production, and learning from real usage. AI is not a side tool here. You'll use it as a core part of how you design, code, test, debug, review, and ship software.

You'll work closely with engineers, product partners, and business stakeholders across distributed teams. The ideal candidate is curious, driven, comfortable asking questions in ambiguous situations, and excited to build a career at the front edge of AI-native engineering.

Why Now
This is a rare setup. You get the pace and greenfield energy of an early-stage startup, backed by the stability, resources, and built-in distribution of an established company. The product just launched, usage is growing, and the systems are still being shaped. Engineers joining now get outsized ownership, mentorship from senior engineers invested in their growth, and learning opportunities that are hard to find at this career stage. As the product and team grow, so does the opportunity: a clear path to senior, real architectural exposure, and the chance to build AI-native engineering skills that are in high demand. You'll also get access to frontier AI development tools, including AI coding agents like Claude Code, as a core and funded part of how the team works.

About therole

  • Build and ship full-stack features from design through implementation, release, measurement, and iteration.

  • Contribute to agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features.

  • Help build evaluation, observability, and guardrail mechanisms for AI agents, ensuring reliability, safety, and measurable quality as agent behavior translates into product functionality.

  • Implement scalable backend and frontend solutions using technologies such as C#, Python, Angular, AWS, and Kubernetes.

  • Work with product, design, data, and senior engineers to turn requirements into reliable, well-tested solutions.

  • Participate in code reviews, design discussions, and team practices that raise the quality bar.

  • Collaborate effectively across distributed engineering teams, including partners in India.

Aboutyou

You're a builder who cares about outcomes, not just tickets. You ship, seek feedback, and improve quickly. You're serious about AI and eager to go deeper. You're comfortable operating in an early-stage product environment where requirements evolve and priorities shift, and you see that as a chance to learn faster rather than a source of frustration.

Minimum Qualifications

  • 2+ years of professional software development experience.

  • Experience building production software in languages such as C#, Java, Python, JavaScript, or TypeScript.

  • Experience contributing to full-stack applications across frontend, backend, APIs, or data integrations.

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

  • Solid grasp of software design fundamentals, testing, and writing maintainable code.

  • Ability to communicate clearly and collaborate effectively across teams.

Preferred Qualifications

  • Hands-on experience with LLM APIs, agentic AI frameworks (e.g., LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar), or Model Context Protocol (MCP) tool integrations.

  • Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality.

  • Hands-on usage of AI tools in your development workflow, such as AI coding agents, AI-assisted reviews, or prompt-driven development.

  • Experience with AWS, Kubernetes, CI/CD, or automated testing.

Whatyou'llget

Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put:We'vegot your back. Check out our full list ofBenefits and Perks.

On-Call Expectations
This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will bedeterminedby team needs and communicated accordingly.

Aboutus

Rocketis a Detroit-based company made up of businesses that provide simple,fastand trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage, which was founded in 1985. Today,we'rea publicly traded company involved in many different industries, including mortgages, fintech, realestateand more.We'reinsistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard.Apply today to join a team that offers career growth, amazingbenefitsand the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, atCareers@Rocket.com.

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