LLM Engineer (GenAI, NYC)

GPTZero; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading AI detection platform in New York is seeking an experienced software engineer to build next-generation AI tools. Candidates should have 3+ years of experience in Python and familiarity with LLM frameworks. The role involves fine-tuning language models, optimizing prompts, and developing multi-agent workflows. Ideal candidates are self-starters motivated to create societal impact. This role offers a chance to work in a fast-paced environment with passionate builders.

Qualifications

• 3+ years of experience in Python programming.
• 1+ years of experience with LLM frameworks like Langchain or LlamaIndex.
• Experience with agentic or RAG applications.
• Strong skills in exploratory data analysis (EDA) to inform solutions.
• Experience in pushing LLM boundaries on novel tasks.

Responsibilities

• Fine-tune and evaluate state-of-the-art language models.
• Optimize prompts for classification accuracy and personalization.
• Develop multi-agent workflows using diverse data.
• Iterate on AI agents using observability tools.
• Collaborate with product and design teams for societal impact.

Skills

Python

LLM frameworks

Agentic/RAG applications

Exploratory data analysis

Modular codebases

Project ownership

Societal impact motivation

Leadership

Job description

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI‑generated content. With millions of users and institutions relying on us, we’re building a category‑defining company at the intersection of AI and information integrity.

Our team comes from high‑performing engineering cultures, including Meta, Perplexity, AWS, Affim, and leading AI research labs, including Princeton, Caltech, and Vector Institute.

About this role:

In this role, you’ll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You’ll be working on a fast‑paced team of passionate builders to create industry‑defining software that has attracted millions of users globally.

What you’ll contribute:

• 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

Qualifications

• 3+ YOE in Python

• 1+ YOE in LLM framework like Langchain or LlamaIndex

• 1+ YOE with agentic or RAG applications

• Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions

• Experience pushing the cutting‑edge in LLM abilities on novel tasks with subjective outputs

• Excellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelines

• Self‑starter (pitch, plan, and implement as a project owner in a fast‑paced team)

• Highly motivated to make positive societal impact

• Ability to wear multiple hats and be a leader as our team grows

• Visa for work in Canada or US

  Bonus:

  • Strong open‑source portfolio

  • Publications at top‑tier ML venues

  • Experience working in an early‑stage startup environment

  • Experience with a prompt optimization framework like DsPY or TextGrad