AI Solutions Analyst

Colibri Group • Full-time • Remote (United States) • 2w ago

Fast Facts

We are looking for an AI Solutions Analyst with expertise in prompt engineering and experience with Large Language Models to enhance our internal operations. This remote role requires analyzing use cases, optimizing LLM solutions, and collaborating with teams.

Responsibilities: Analyze LLM use cases, create and optimize prompt engineering solutions, maintain templates for LLM outputs, fine-tune outputs for accuracy, evaluate LLM performance, document best practices, and provide training on LLM technology.

Skills: Bachelor’s degree in a related field, 3+ years of AI/ML experience, proficiency in Python and APIs, expertise in prompt engineering, familiarity with LLM platforms, strong analytical and communication skills.

Qualifications: Experience in educational technology or e-learning platforms, knowledge of content management systems, and understanding of instructional design principles.

Location: This position is fully remote.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $90,000 - $130,000.

Position Overview:

We are seeking an experienced AI Solutions Analyst specializing in prompt engineering and the use of Large Language Models (LLMs) to augment internal operations teams. This role focuses on capturinguse cases from business teams and identifying corresponding solutions.

What You'll Do

Analyze use cases for LLM implementation within operational workflows with a focus on course development
Create and optimize prompt engineering solutions for multiple LLM platforms
Create and maintain templates for consistent LLM output across different use cases
Fine-tune LLM outputs to ensure accuracy and quality
Collaborate with subject matter experts to understand specific requirements
Evaluate and compare different LLM performances for various use cases
Document best practices, methodologies, and implementation guidelines
Monitor and optimize solution performance through regular testing and iteration
Help teams stay current with latest developments in LLM technology and prompt engineering techniques by providing training including general use, best practices, frameworks, and guidance for use of custom AI tools

What You'll Need to Succeed

Bachelor’s degree in computer science, AI, or related field
3+ years of experience working with AI/ML technologies, specifically LLMs
Foundational knowledge of Python language, APIs, data handling, and machine learning
Demonstrated expertise in prompt engineering and template design
Proficiency in working with various LLM platforms (e.g., GPT models, Claude, etc.)
Strong analytical and problem-solving skills
Excellent documentation and technical writing abilities
Strong communication skills and ability to work with cross-functional teams

Preferred Qualifications:

Experience in educational technology or e-learning platforms
Knowledge of content management systems and learning management systems
Strong understanding of educational content development and instructional design principles or curriculum development