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Llm Engineer Jobs in Michigan (NOW HIRING)

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

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 ...

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 ... Architect and implement end‑to‑end LLM systems , including: * Prompt pipelines * Agent‑based ...

Bright Vision Technologies

Prompt Engineer

Novi, MI · On-site

$76 - $99/hr

Prompt Engineer - Remote Bright Vision Technologies is a technology consulting and software ... The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design ...

Stefanini Group

AI Engineer

Dearborn, MI · On-site

$61 - $66/hr

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated ...

New

Stefanini Group

AI Engineer

Dearborn, MI

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated ...

New

Stefanini Group

AI Engineer

Dearborn, MI

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated ...

New

Stefanini

AI Engineer

Dearborn, MI · On-site

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated ...

New

Stefanini Group

AI Engineer

Dearborn, MI

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated ...

New

Stefanini, Inc

AI Engineer

Dearborn, MI · On-site

$84 - $91/hr

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) Responsibilities * Understand ... Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated ...

New

Orbotech

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement ...

KLA

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement ...

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI

$111K - $188K/yr

Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability * Implement ...

Waggoner Financial

Software Engineer

Lansing, MI · On-site

We are looking for software engineers to join our internal platform team. You'll work across our ... Comfort using LLM coding assistance such as Claude Code or OpenAI models. Nice to Have * Experience ...

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Llm Engineer information

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How much do llm engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for llm engineer in Michigan is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.28 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

What are the key skills and qualifications needed to thrive as an LLM engineer?

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can earn higher salaries, often exceeding $200,000 with bonuses and stock options.

What are the most commonly searched types of Llm Engineer jobs in Michigan?

The most popular types of Llm Engineer jobs in Michigan are:

What are popular job titles related to Llm Engineer jobs in Michigan?

For Llm Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Llm Engineer jobs in Michigan look for?

The top searched job categories for Llm Engineer jobs in Michigan are:

Llm Engineer jobs near you
Infographic showing various Llm Engineer job openings in Michigan as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Artificial Intelligence Senior Associate (W2 Position)

Dearborn, MI • On-site

Megan soft Inc
IT Services • 11 - 50 employees
Learn more about Megan soft Incexternal

Contractor

Re-posted 27 days ago

Job description

Here is a clean, structured Job Description (JD) based on the provided details, formatted to be clear, professional, and ready to post or share with prospective candidates.

Job Title: Senior AI / LLM Engineer (Artificial Intelligence Senior Associate)

Location: Dearborn, MI (Hybrid: 4 days onsite)

Duration: 12 Months Contract

Only W2 No OPTS 

Position Overview

We are looking for a Senior AI / LLM Engineer to architect and deploy production-grade multi-agent orchestration layers, advanced RAG pipelines, and automated intelligence workflows. This role is closer to distributed systems engineering with a probabilistic component than basic prompt tuning or pure ML research.

You will translate complex business requirements into scalable, observable, and secure AI systems on Google Cloud Platform (GCP), working with frameworks like LangGraph, CrewAI, and LlamaIndex, and containerized backend microservices.

Key Responsibilities

  • Architect & Deploy Multi-Agent Orchestration: Build production-grade multi-agent architectures (orchestrator, NL-to-SQL, visualization, RCA/RAG, report generation, notification agents) using stateful agent frameworks with checkpointing and human-in-the-loop validation.

  • Production RAG Systems: Design and scale Retrieval-Augmented Generation (RAG) pipelines using vector databases (pgvector, Pinecone, Weaviate, Qdrant), hybrid search, reranking, and domain-specific chunking strategies.

  • GCP Infrastructure & Integration: Deploy agent microservices and data pipelines using GCP infrastructure (Vertex AI, Cloud Run / GKE, BigQuery, Pub/Sub, CI/CD with Docker/Kubernetes).

  • LLM Observability & Testing: Build robust evaluation and tracing pipelines using tools like LangSmith, Langfuse, or OpenTelemetry ( golden datasets, LLM-as-judge scoring, latency/cost tracking).

  • Safety & Guardrails: Implement prompt-injection defense, output validation, safe execution of AI-generated code/SQL (least-privilege access, sandboxing), and human approval checkpoints for critical actions.

  • Cost & Latency Optimization: Implement tiered model routing (low-cost filtering models vs. high-capability deep-dive models) and intelligent caching strategies.

  • Integration & Collaboration: Connect validated outputs to enterprise operational platforms (e.g., Salesforce, notification systems, reporting tools) and collaborate with data scientists to turn prototypes into production-ready services.

Qualifications & Skill RequirementsRequired Experience & Education:

  • Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (Master's preferred).

  • Experience: 3+ years in production software engineering, including 1–2+ years actively building ML/AI or LLM-driven applications in production environments.

  • Cloud Expertise: Hands-on experience with Google Cloud Platform (GCP) (BigQuery, Vertex AI, Cloud Run, GKE, Pub/Sub).

  • Language & Backend: Strong proficiency in Python (async/concurrent programming) and backend frameworks (FastAPI, Flask).

  • Agent Orchestration: Practical experience using frameworks like LangGraph, CrewAI, LlamaIndex, or equivalent for multi-step agent workflows.

  • Vector DBs & RAG: Hands-on experience with vector search and databases (pgvector, Pinecone, Qdrant, Weaviate).

  • DevOps & Data: Proficiency with Docker, Kubernetes, CI/CD pipelines, and writing complex SQL queries.

  • LLM Security & Observability: Familiarity with LLM guardrails, sandboxing, and evaluation tooling (LangSmith, Langfuse, OpenTelemetry).

Preferred Qualifications (Nice-to-Have):

  1. Experience designing model-routing pipelines for cost optimization at scale.

  2. Hands-on experience with human-in-the-loop or high-stakes validation checkpoints.

  3. Industry experience with automotive, EV charging, IoT, or connected-vehicle telemetry data.

  4. Familiarity with the Model Context Protocol (MCP) or open integration standards across tools/agents.

  5. Prior experience in 0-to-1 product environments or startups handling fast-evolving requirements.