Junior LLM Specialist

Job Description

A client of Insight Global is looking to add an LLM Specialist to their team to work hybrid in Englewood Colorado.

In this role, you will play a key part in advancing internal enterprise GPT solutions by evaluating and benchmarking large language models (LLMs), improving their performance, and assessing new model integrations within a proprietary evaluation platform. You will work closely with statisticians and engineers to enhance backend capabilities and introduce innovative features that drive continuous improvement. This position offers an exciting opportunity to contribute to cutting-edge AI initiatives and help shape the future of enterprise technology.

This position will pay between $40-50 / hour based on experience.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy :

Skills and Requirements

• Bachelor’s degree in Computer Science, Statistics, Data Science, or related field.
• 2+ years of hands-on experience working with LLMs, including evaluation and integration techniques for enhanced information retrieval and generation.
• Familiarity with enterprise AI tools and evaluation frameworks.
• Strong programming skills in Python, R, SQL.
• Ability to analyze and interpret model performance metrics.
• Experience in statistical modeling or data analysis.
• Familiarity with Scala and Spark.
• Strong problem-solving and communication skills.
• AWS Cloud familiarity