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Llm Jobs in Michigan (NOW HIRING)

Develop automated test pipelines for LLM-based features, including hallucination detection, response quality evaluation, prompt regression testing, and adversarial input testing. * Build and curate ...

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature ...

This role is part of our Digital & IT organization and is focused on applying AI through hands-on software engineering, Python development, APIs, LLM-enabled solutions, workflow automation, and ...

AI engineer

Dearborn, MI ยท On-site

$89K - $122K/yr

Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit. * Experience in supporting continuous improvement by investigating development alternatives. * Experience ...

Design and develop LLM-powered workflows and agentic systems that help users complete complex tasks, retrieve information, reason over enterprise data, or interact with internal systems. * Integrate ...

Senior Software Engineer

Allen Park, MI ยท On-site

$111K - $147K/yr

Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems to automate complex data analysis, anomaly detection, and decision ...

Role Purpose Are you passionate about building AI agents and LLM-powered solutions that can transform cybersecurity operations? Join Corning and help modernize how cybersecurity teams detect ...

Develop automated test pipelines for LLM-based features, including hallucination detection, response quality evaluation, prompt regression testing, and adversarial input testing. * Build and curate ...

Support the development of Python-based applications, APIs, JSON integrations, model-connected workflows, and LLM-enabled solutions.Lead or support chatbot, RAG, conversational AI, agentic AI, and AI ...

LLM gateways, agent orchestration, and the operational patterns that come with non-deterministic workloads. This is a senior level IC role. You'll help set and drive technical direction for ...

New

AI Engineer

Detroit, MI ยท On-site +1

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI * Implement guardrails around tool execution: auth scoping, input ...

Compare NLP approaches to extraction and enrichment against LLM-based approaches, and pick the right tool for each task. That means putting traditional NLP (NER, sequence labeling, classification ...

New

AI Engineer

Detroit, MI ยท On-site

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI * Implement guardrails around tool execution: auth scoping, input ...

Showing results 21-40

Llm information

See Michigan salary details

$77.2K

$129.6K

$165.3K

How much do llm jobs pay per year?

As of Aug 23, 2026, the average yearly pay for llm in Michigan is $129,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $143,000.00 per year, depending on experience, location, and employer.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can I do with a large language model?

A large language model (LLM) can be used in roles such as AI researcher, NLP engineer, data scientist, or machine learning engineer, focusing on developing and deploying AI applications. These jobs typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.

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

The most popular types of Llm jobs in Michigan are:

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

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

What cities in Michigan are hiring for Llm jobs?

Cities in Michigan with the most Llm job openings:

Infographic showing various Llm job openings in Michigan as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,571 per year, or $62.3 per hour.

Software Engineer Internship

Waggoner Financial

Lansing, MI โ€ข On-site

Internship

Posted 3 days ago

New


Job description

We are looking for software engineer intern to join our internal platform team. You'll work across our full stack, GraphQL API (NestJS), React frontend (Next.js), and PostgreSQL database, building tools that advisors use to make real investment decisions. Scope scales with experience: early-career developers ship well-scoped features with mentorship, while senior developers drive architecture decisions and mentor others.

Responsibilities
  • Design, build, and ship features end-to-end across our internal platform.
  • Build and maintain integrations with financial data providers, including Black Diamond, Capital IQ, FMP, Box, and Redtail, including authentication, error handling, and data parsing.
  • Develop analytics and decision tools, including portfolio metrics, earnings tracking, and risk analysis used by advisors for real investment decisions.
  • Build AI-powered features, including document search, chat over internal knowledge, and workflow automation.
  • Participate in code review, testing, and the ongoing architectural restructure of the platform.

Requirements

  • Experience building and shipping real software in TypeScript or JavaScript, whether professional, academic, or personal projects.
  • Full-stack reasoning: understanding how a UI change relates to an API, and how an API relates to its data.
  • Clear, readable code and constructive participation in code review.
  • Clear communication with non-engineers; our users are financial advisors.
  • Curiosity about the financial domain, no finance background required.
  • Comfort using LLM coding assistance such as Claude Code or OpenAI models.
Nice to Have
  • Experience with Next.js, React, NestJS, GraphQL, PostgreSQL, TypeORM, Nx, or Bun.
  • Third-party API integration experience.
  • Fintech exposure.
  • Python experience.
  • Experience building LLM-powered features.

Benefits

  • Competitive hourly pay.
  • Flexible scheduling around class commitments.
  • Potential path to future opportunities with the firm.
  • Direct mentorship from experienced engineers, with scope that grows as you do.
  • Hands-on ownership of real features used by advisors for real investment decisions.
  • Exposure to modern tooling, including AI-powered development workflows and LLM coding assistants.
  • Small, collaborative engineering team with direct input into architecture and product direction.