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Llm Engineer Jobs in Indiana (NOW HIRING)

Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational interfaces. * Engineer prompt pipelines with ...

Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational interfaces. * Engineer prompt pipelines with ...

Senior AI Engineer - Bioinformatics

Indianapolis, IN ยท On-site

$117K - $154K/yr

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 ...

Senior Software Engineer

Indianapolis, IN ยท On-site

$117K - $154K/yr

Experience with LLM orchestration, search systems, and context engineering Highly Competitive Candidates Highly competitive candidates will have more than two of the following: * API development:

Senior Software Engineer

Indianapolis, IN ยท On-site

$117K - $154K/yr

Experience with LLM orchestration, search systems, and context engineering Highly Competitive Candidates Highly competitive candidates will have more than two of the following: * API development:

AI Engineer

Brazil, IN ยท On-site

Build LLM-powered workflows, agents, retrieval systems, evaluation pipelines, and automation that solve real healthcare and operational problems. * Work with product, engineering, data, clinical, and ...

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Llm Engineer information

See Indiana salary details

$24

$51

$72

How much do llm engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for llm engineer in Indiana is $51.03, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $59.23 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 Indiana?

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

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

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

Infographic showing various Llm Engineer job openings in Indiana as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,149 per year, or $51 per hour.

Principal Coding Annotator / LLM Evaluation Engineer

Alexandria, IN โ€ข On-site, Remote

$75 - $90/hr

Full-time

Posted 6 days ago


Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

This is a contracting engagement - initially 6 months - with potential for long term engagement.

Location: Paris or London-based preferred; alternatively Europe remote for strong candidates


We are building and evaluating state-of-the-art large language models (LLMs) and are looking for experienced software engineers to join our evaluation and annotation team. This role sits at the intersection of real-world software engineering, model evaluation, and applied AI, and is critical to improving model reliability, reasoning, and code quality.

You will design challenging coding tasks, evaluate model outputs against rigorous benchmarks, identify failure modes, and contribute to reinforcement learning and model improvement workflows.

This is not a junior annotation role. We are looking for practitioners with deep hands-on coding experience who can think like both an engineer and an evaluator.

What Youโ€™ll Do
  • Evaluate coding tasks involving software vulnerabilities, exploit verification, and security patches.
  • Create high-quality coding prompts and reference answers (benchmark-style, e.g. SWE-Bench-like problems).
  • Evaluate LLM outputs for code generation, refactoring, debugging, and implementation tasks.
  • Identify and document model failures, edge cases, and reasoning gaps.
  • Perform head-to-head evaluations between private LLMs (Mistral-based) and leading external models.
  • Build or configure coding environments to support evaluation and reinforcement learning (RL).
  • Follow detailed annotation and evaluation guidelines with high consistency.
What Weโ€™re Looking For
  • 5+ years of professional software development experience.
  • Strong Python skills (required).
  • Knowledge of at least one additional programming language (bonus).
  • Experience with professional code review, coding annotation, LLM/code evaluation, or benchmark design is a plus, but not required.
  • Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting, or validating security patches.
  • Proven ability to apply structured evaluation criteria and write clear technical feedback.
  • Fluent in English (written and spoken).
  • Team lead or mentoring experience is a strong plus.
Why This Role
  • Work hands-on with cutting-edge LLMs.
  • Apply real-world engineering judgment to model evaluation and improvement.
  • High-impact, technical work with a focused, senior team.