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Prompt Engineering Internship Jobs in New York (NOW HIRING)

Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering. * Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up ...

AI Product Specialist

New York, NY · On-site

$90K - $120K/yr

Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering. * Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up ...

This internship provides hands-on experience in applying artificial intelligence technologies ... Support data preparation, model evaluation, prompt engineering, and AI workflow optimization ...

Prompt engineering concepts; Vector databases / embeddings (basic familiarity); Cloud platforms (AWS, Azure). * Academic projects or internships involving AI/ML or Gen AI. Key Skills: Technical ...

New

... prompt engineering as core parts of their daily process. We expect you to do the same. You'll be ... colors" internship. You'll own real work that ships to real users. * Take an active role in ...

... prompt engineering as core parts of their daily process. We expect you to do the same. You'll be ... colors" internship. You'll own real work that ships to real users. * Take an active role in ...

... including internships, co-ops, or personal projects with deployed, real-world applications ... Understanding of prompt engineering best practices. * Naturally curious and proactive - you seek ...

... internship/project record that demonstrates this orientation • Strong communicator who can ... prompt engineering or building Claude/GPT-powered automations • Prior exposure to B2B SaaS ...

... internship program here. About You If you've never thought about a career in finance, you're in ... Familiar with AI/LLMs and prompt engineering * Intellectually curious, collaborative, and eager to ...

... internship program here. About You If you've never thought about a career in finance, you're in ... Familiar with AI/LLMs and prompt engineering * Intellectually curious, collaborative, and eager to ...

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Prompt Engineering Internship information

What is a prompt engineering internship?

A Prompt Engineering Internship is a role where interns learn to design, refine, and optimize prompts for AI models to generate accurate and useful responses. Interns work closely with developers, researchers, and data scientists to test and improve AI outputs. The position often involves experimenting with different prompt structures, analyzing results, and helping enhance AI capabilities. This internship is ideal for those interested in AI, natural language processing, and machine learning applications.

What kinds of projects or responsibilities can I expect during a prompt engineering internship?

As a Prompt Engineering Intern, you will typically work on developing, testing, and optimizing prompts for large language models to improve response quality and accuracy. Your daily tasks may include collaborating with engineers, data scientists, and product teams to understand project goals, conducting experiments to evaluate prompt effectiveness, and documenting findings or best practices. You may also be involved in researching emerging trends in AI and suggesting improvements based on real-world feedback. This role offers a dynamic environment with opportunities to contribute to cutting-edge applications and strengthen your technical and communication skills in a collaborative team setting.

What are the key skills and qualifications needed to thrive in a prompt engineering internship?

To thrive as a Prompt Engineering Intern, you need a strong background in language modeling, natural language processing (NLP), and analytical thinking, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, machine learning libraries (such as TensorFlow or PyTorch), and platforms that host large language models (like OpenAI API) is helpful. Excellent communication, problem-solving abilities, and creativity are valuable soft skills for crafting effective prompts and collaborating within teams. These skills ensure that prompts are precise and effective, enabling high-quality outputs from AI systems and driving innovation in conversational AI applications.

Are prompt engineering interns still in demand?

Prompt engineering interns are increasingly in demand as organizations seek to develop and optimize AI language models. Skills in natural language processing, machine learning, and familiarity with AI tools like GPT are valuable for these roles, which are often part of broader AI and data science teams.

What are the most commonly searched types of Prompt Engineering jobs in New York?

The most popular types of Prompt Engineering jobs in New York are:

What cities in New York are hiring for Prompt Engineering Internship jobs?

Cities in New York with the most Prompt Engineering Internship job openings:

Infographic showing various Prompt Engineering Internship job openings in New York as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Engineering Co-Op Internship

PetsApp

Manhattan, NY • On-site

$70 - $90/hr

Other

Posted 3 days ago

New


Job description

About LEA

LEA is building the document understanding API for wealth management. We help financial advisors and RIA (Registered Investment Advisor) firms unlock the power of their client documents using AI-powered data extraction and workflow automation.

By structuring data from PDFs like brokerage statements and financial plans, we enable use cases like proposal generation, onboarding, and client insights — integrating directly into systems like Orion, Morningstar, or internal advisor portals.

We’ve closed our seed round and are growing our team to refine our extraction engine and bring powerful, AI-driven workflows to the wealth management industry.

What You’ll Work On

This role is a mix of prompt engineering, model evaluation, internal tooling, and data curation. You’ll support our efforts to test and improve how we extract structured financial data from unstructured documents.

While most of the work will focus on testing and refining model outputs, you’ll also spend ~25% of your time coding — building internal tools to streamline this process.

Key Areas of Focus Prompt Engineering & Model Evaluation (60%)
  • Use tools like Reducto Studio to test and evaluate AI extraction performance
  • Run documents through different prompts & schemas to compare output quality
  • Identify inconsistencies and iterate on prompts for more accurate results
  • Log test outcomes, manage prompt versions, and maintain evaluation docs
Dataset Management & Redaction (15%)
  • Build and maintain a curated test dataset of financial documents
  • Editing documents using tools like Adobe Acrobat
  • Organize files and metadata into structured directories for version-controlled testing
Internal Tooling & Coding (25%)
  • Build small internal tools (e.g. scripts, dashboards, validators) to:
    • Automate testing runs across prompts or schemas
    • Compare JSON outputs and flag anomalies
    • Track evaluation history across document versions
  • Technologies might include: Ruby, Bash, simple web apps, JSON tooling, etc.

This part of the role is where you can flex your technical skills— and help us improve how we measure and enhance the extraction quality at scale.

You Might Be a Good Fit If You:
  • Love experimenting with LLMs and prompt design
  • Have strong attention to detail and enjoy analyzing model behavior
  • Are comfortable working with structured data (JSON, CSV) and document formats (PDF)
  • Have some programming experience and want to apply it to real-world AI systems
  • Are organized, communicative, and excited about startup life
Bonus Points For:
  • Experience writing scripts or simple internal tools (Ruby preferred)
  • Familiarity with data extraction, NLP, or LLM tools (e.g. OpenAI, Claude, Reducto, etc.)
  • Knowledge of document processing, evaluation frameworks, or prompt versioning
  • Interest in fintech, wealth management, or infrastructure-layer AI
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