About the role
- - Design, develop, and optimize prompts for various LLMs (GPT, Gemini, LLama, etc.) to ensure consistent ouput and reduce token consumption.
- - Must be able to prompt engineer complex custom GPTs
- - Conduct experiments to evaluate the effectiveness of different prompting strategies.
- - Collaborate with data scientists and AI specialists to refine model outputs based on business requirements.
- - Stay informed about emerging trends and techniques in prompt engineering and LLM capabilities.
- - Provide insights and recommendations based on data analysis related to prompt effectiveness.
- - Understanding and application of Workflow Automation Tools or API's
Requirements
- - Proven experience working with Large Language Models (LLMs) such as GPT, GEMINI, or LLAMA.
- - Strong understanding of natural language processing concepts and techniques.
- - Experience in optimizing prompt design for different use cases and token management.
- - Familiarity with programming languages such as Python for model interaction.
- - Ability to analyze model outputs and iterate on prompt strategies effectively.
- - Excellent problem-solving skills and attention to detail.
- - Strong verbal and written communication skills to articulate findings and collaborate with teams.
- - **Unlimited paid time off** – we trust you to balance your work and life
- - **Remote-first** – work from anywhere in the world
- - **Tech setup** – we’ll provide equipment if needed, based on role requirements
- - Work closely with founders and take a lead role in shaping a fast-growing company’s visual identity
- - Join a high-performance, design-forward culture that values creativity, autonomy, and impact
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
prompt engineeringLarge Language Modelsnatural language processingtoken managementPythondata analysismodel optimizationprompt designexperiment evaluationworkflow automation
Soft skills
problem-solvingattention to detailverbal communicationwritten communicationcollaboration