GPTZero builds AI detection tools that help restore trust and transparency online. In this role, you'll develop reliable AI agents, fine-tune state-of-the-art language models, and optimize prompts to maximize classification accuracy and personalization. You'll work closely with product and design teams to ship intuitive applications that have a societal impact.
Responsibilities
Fine-tune and evaluate state-of-the-art language models
Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines
Develop multi-agent workflows incorporating data from diverse sources using RAG
Improve and iterate on AI agents using observability and experimentation tools
Stay up-to-date with the latest literature and emerging technologies to solve novel problems
Work closely with product and design teams to develop intuitive applications that create societal impact
Requirements
3+ years of experience in Python
1+ year of experience with LLM frameworks like LangChain or LlamaIndex
1+ year of experience with agentic or RAG applications
Strong exploratory data analysis (EDA) skills
Excellent software engineering skills, building extensible and modular codebases and complex pipelines
Self-starter able to pitch, plan, and implement as a project owner in a fast-paced team
Greenhouse is a technology company that provides a recruiting software-as-a-service (SaaS) platform, often referred to as an applicant tracking system (ATS). The company focuses on structured hiring, talent sourcing, and onboarding, using AI-powered tools to help teams make data-driven, fair, and efficient hiring decisions.