AI Prototyping & LLM Tools Intern

Americo Financial Life and Annuity; North Kansas City (MO); On-site; USD 25,000 - 39,000; Full time

Job summary

Americo Financial Life and Annuity in Kansas City offers a 2027 Summer Internship focused on researching, prototyping, and developing internal AI tools that leverage large language models. The intern will help explore new AI capabilities, build early-stage prototypes, and contribute ideas that may evolve into production-ready solutions used across the company.

The role emphasizes hands-on experimentation, Python-based tooling, and collaboration with a multidisciplinary team to apply responsible

Qualifications

• Pursuing a degree in a relevant field with coursework in AI/ML.
• Familiarity with AI tools such as ChatGPT or other LLM platforms.
• Interest in prompt engineering and applied machine learning.
• Experience with Python preferred; SQL a plus.
• Willingness to study research on LLM limitations and when not to employ them.
• Strong analytical and problem-solving skills.

Responsibilities

• Research and evaluate modern AI technologies and tools.
• Assist in building internal AI tools using large language models (LLMs).
• Develop and test prompt engineering techniques to improve AI tool performance.
• Prototype AI solutions that can evolve into production systems.
• Evaluate model outputs and improve accuracy and reliability.
• Document tools, experiments and project findings.
• Communicate ideas, progress, and results with the team.
• Perform other duties as assigned.

Skills

Python

Analytical thinking

Team collaboration

Self-motivated

Communication

Education

Pursuing a degree in Data Science / AI / ML / CS / Math / Stats

Tools

ChatGPT

LLMs

Job description

Americo Financial Life and Annuity in Kansas City offers a 2027 Summer Internship focused on researching, prototyping, and developing internal AI tools that leverage large language models. The intern will help explore new AI capabilities, build early-stage prototypes, and contribute ideas that may evolve into production-ready solutions used across the company.

The role emphasizes hands-on experimentation, Python-based tooling, and collaboration with a multidisciplinary team to apply responsible