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Llm Jobs in Indiana (NOW HIRING)

MedPro Group

AI Specialist

Fort Wayne, IN

This role focuses on designing, implementing, and enabling AI solutions using Microsoft Copilot and MedPro's internal LLM capabilities, while increasing overall AI literacy and adoption. * Partner ...

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

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

Kobie Marketing

AI Engineer

Indianapolis, IN · 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 ...

Providesure.com

Junior Software Engineer

Indianapolis, IN · On-site

$110 - $180/hr

AI/LLM Application Development * Agentic AI Development and Prompt Engineering * RAG (Retrieval-Augmented Generation) Pipeline Development and Management * Vector Database Management (storage ...

New

Garrettgp

Data Scientist - JETARS

Fort Wayne, IN · On-site

$110 - $150/hr

Develop and deploy analytics solutions incorporating LLM usage, natural language processing, and text analytics. * Apply MAVEN Smart Systems to support automated decision-making, intelligent ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

Requirements LLM Application Development * Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

Requirements LLM Application Development * Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational ...

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Llm information

See Indiana salary details

$81.8K

$137.2K

$175K

How much do llm jobs pay per year?

As of Sep 2, 2026, the average yearly pay for llm in Indiana is $137,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $151,500.00 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.
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Llm jobs near you
Infographic showing various Llm job openings in Indiana as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $137,211 per year, or $66 per hour.

.NET Full Stack Developer with AI (C#, Angular & LLM Integration) - Q3 - 2026

R2 Technologies Corporation

Indianapolis, IN • On-site

Full-time

Posted 22 days ago

Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: The .NET estate inside most enterprises is where AI has to land to be useful, and the Microsoft stack now has a first-class path to get it there. R2 Technologies is seeking a .NET Full Stack Developer with AI experience to build and maintain enterprise applications that embed Generative AI capabilities. You will work across .NET Core services, Angular front ends, and SQL Server data layers, integrating LLM-powered features such as document search, retrieval-augmented generation, chatbots, and intelligent workflow automation using Azure OpenAI and Semantic Kernel.
Key Responsibilities:
  • Design, develop, and maintain full stack applications using .NET Core/.NET 8, C#, Angular, and SQL Server.
  • Integrate Generative AI capabilities into enterprise applications using Azure OpenAI, Semantic Kernel, or Python-based LangChain services.
  • Build AI-powered features including chatbots, document search, RAG workflows, and intelligent process automation.
  • Develop and consume RESTful APIs and microservices that connect Angular front ends to backend AI services.
  • Design and optimize database schemas, stored procedures, and data models in SQL Server, and implement vector search using Azure AI Search or comparable stores.
  • Implement security best practices, coding standards, unit testing, and CI/CD pipelines within Agile/Scrum delivery.

Qualifications:
  • 3 years of full stack development experience with hands-on Generative AI or LLM integration work.
  • Strong expertise in C#, .NET Core/ASP.NET Core, Angular (v12+), and SQL Server.
  • Experience integrating LLMs such as Azure OpenAI, OpenAI, or Anthropic Claude into enterprise applications.
  • Hands-on experience with Semantic Kernel, LangChain, or comparable AI orchestration frameworks.
  • Proven experience developing REST APIs and microservices, with a strong grasp of object-oriented design patterns.
  • Familiarity with vector databases such as Azure AI Search, Pinecone, or ChromaDB, and deployment on Azure Cloud.

Skills:
.NET Core,C#,Angular,SQL Server,Generative AI,Azure OpenAI,LLM Integration,REST APIs,Full Stack Development

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