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Llm Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

Austin, IN

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic ...

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

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 ...

Build mobile interfaces and workflows that integrate AI-powered capabilities and LLM-driven experiences * Collaborate with backend and AI engineering teams to support recommendation systems ...

ML Engineer

Indianapolis, IN ยท On-site +1

Develop prompt engineering, retrieval, and agentic workflows ... Fine-tune and evaluate LLM performance for business use cases. * Implement Retrieval-Augmented ...

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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 Jul 5, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, especially those specializing in machine learning, AI, or cloud infrastructure, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

What do LLM engineers do?

LLM engineers develop, optimize, and deploy large language models for various applications such as chatbots, content generation, and natural language understanding. They work with machine learning frameworks, handle data preprocessing, and fine-tune models to improve performance and accuracy.

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 deep learning and natural language processing can command higher salaries, often exceeding $200,000.

Are LLM engineers in demand?

LLM engineers are in high demand due to the rapid growth of large language models and AI applications across industries. They typically require expertise in machine learning, natural language processing, and programming skills, with many organizations actively recruiting for these roles to develop and improve AI systems.

What are the main responsibilities of an LLM Engineer on a typical project?

An LLM Engineer is typically responsible for designing, fine-tuning, and deploying large language models to solve specific business or research problems. You will collaborate closely with data scientists, product managers, and software engineers to understand requirements, select the appropriate model architectures, and integrate LLMs into production systems. Routine tasks may include data preprocessing, hyperparameter tuning, model evaluation, and monitoring model performance post-deployment. The role also often involves staying current with rapidly evolving NLP advancements to recommend and implement state-of-the-art solutions.

What are the key skills and qualifications needed to thrive in the Llm Engineer position, and why are they important?

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.

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $106,149 per year, or $51 per hour.

Product Operations Specialist (Technical + LLM)

BC Forward

Indianapolis, IN โ€ข On-site

$56 - $60/hr

Other

Posted 22 days ago


Job description

Job Title: Product Operations Specialist (Technical + LLM) Location: Remote Duration: Contract - 6 months Pay Range: $56/hr $60/hr (W2) Job ID: 373861 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description The Product & Regulatory Operations organization supports user and business safety across client platforms in partnership with product, engineering, legal, and cross-functional teams. We are seeking a Product Operations Specialist (Technical + LLM) to drive growth, engagement, and product quality through data-driven decision making and technical tooling. The ideal candidate will have strong experience in technical product operations, SQL, AI-assisted workflows, and dashboarding and a proven ability to build analytical solutions, accelerate workflows with AI, and improve programs through data analysis and automation.

Responsibilities: Support program execution strategy across multiple products and platforms, including initiating 0-to-1 efforts, accelerating execution, and improving outcomes via programmatic and technical solutions. Write and optimize SQL queries, including CTEs and window functions, to collect, transform, and analyze product data and surface insights. Build and maintain dashboards and visualizations in tools such as Unidash and Google Sheets to support real-time decision making.

Leverage AI agents and tools to accelerate analysis, automate repetitive tasks, and prototype solutions. Identify program risks proactively, define data-backed mitigation plans, and communicate updates to cross-functional stakeholders. Perform program management to forecast roadblocks using data, strengthen cross-functional relationships, and execute with technical rigor.

Contribute to data labeling and LLM training initiatives across organizations. Required Skills & Qualifications: 8+ years of experience in consulting, strategy, operations, or program management with focus on technical product operations. Proficient in SQL, including advanced queries with CTEs, window functions, joins, aggregations, and transformations.

Experience with AI agents and AI-assisted workflows, including effective prompting and iteration. Expert-level proficiency in Google Workspace, especially Google Sheets, including complex formulas, pivot tables, automation, and clear documentation. Strong multi-tasking skills with experience managing concurrent workstreams.

Self-starter who works independently, takes initiative, and drives projects to completion. Ability to learn new tools, technologies, and domains and adapt to changing technical requirements. Effective critical thinking with a record of using data to anticipate issues and drive solutions.

Proven time-management and organizational capabilities. Experience with data annotation and labeling, and LLM training within product quality teams. Preferred Skills: Experience with VS Code or similar development environments.

Low-code or no-code prototyping and AI-assisted code generation experience. Dashboarding and data visualization experience with Unidash, Tableau, Looker, or similar tools. Familiarity with data pipelines, ETL processes, and data infrastructure concepts.

Experience collaborating with engineering on technical specifications and requirements. Background in quality assurance, triage operations, or ML/AI validation workflows. Experience testing and implementing manual and automated test strategies for products and features.

Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits.

Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects.

Fair Chance Notice Pursuant to the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may relate to some duties listed above, including adherence to policies, sound judgment, effective stress management, safe and respectful collaboration, trustworthiness, meeting client expectations and standards, and safeguarding business operations and company reputation. About Our Commitment BCforward is an equal opportunity employer.

We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested?

Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Email: Phone: (415) 202-5530