ZipRecruiter

Log In

1

Llm Jobs in Indiana (NOW HIRING)

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

Telnyx

Software Engineer, GTM AI - Python

Brazil, IN · On-site

The systems you build orchestrate LLM-powered agents that handle real business workflows - qualifying leads, generating emails, routing meetings, enriching contacts, and managing outbound campaigns.

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...

previous pagenext page

Showing results 21-40

All JobsLlm JobsLlm Jobs in Indiana

Llm information

See Indiana salary details

$81.8K

$137.2K

$175K

How much do llm jobs pay per year?

As of Aug 8, 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 jobs can you do with a large language model?

A large language model (LLM) can be used in roles such as AI content developer, chatbot designer, data annotator, or AI researcher. These jobs often require skills in programming, natural language processing, and machine learning tools, and may involve tasks like training, fine-tuning, or deploying language models in various applications.

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 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 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.

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 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.
More about Llm jobs
What are the most commonly searched types of Llm jobs in Indiana? The most popular types of Llm jobs in Indiana are:
What are popular job titles related to Llm jobs in Indiana? For Llm jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Llm jobs in Indiana look for? The top searched job categories for Llm jobs in Indiana are:
What cities in Indiana are hiring for Llm jobs? Cities in Indiana with the most Llm job openings:
Llm jobs near you
Infographic showing various Llm job openings in Indiana as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $137,211 per year, or $66 per hour.

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 12 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Full Stack Engineer to join our innovative and dynamic team.

Senior AI Full Stack Engineer | About You

As a Senior AI Full Stack Engineer, you are responsible for building modern, datadriven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into highimpact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.

Senior AI Full Stack Engineer | Day-to-Day

  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience

  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.
Employment Type: FULL_TIME

Apply