AI Engineer Intern

Diligence Vault Corp.; New York (NY); Hybrid; USD 34,440,000 - 55,104,000; Full time

Benefits offered by this job

Hybrid work model

Competitive internship compensation

Job summary

DiligenceVault is seeking an AI Engineer Intern in New York City for a 3-month hybrid program. You will work on building and testing practical AI capabilities inside a scaled enterprise product.

You’ll learn fund diligence and investment research workflows, tackle unstructured data, semantic search, RAG, and workflow automation, and help move PoCs toward production in a fast-paced, build‑and‑iterate environment.

Qualifications

• Pursuing a Bachelor's or Master's in CS, AI, Data Science, Engineering, or a related field.
• Strong Python skills and solid software engineering fundamentals.
• Familiarity with LLMs, embeddings, RAG, NLP, or modern AI frameworks.
• Comfortable working with messy, real-world data.

Responsibilities

• Build automations for diligence processes.
• Solve hard and messy data problems.
• Embed market, regulatory, and public intelligence into product workflows.
• Build and improve semantic search, multi-model architecture, RAG, document intelligence, and AI agents.
• Rapidly prototype new AI ideas and help move PoCs toward production.

Skills

Python

Software fundamentals

LLMs

Data wrangling

Education

Pursuing Bachelor's or Master's in CS/AI/Engineering

Tools

Embeddings

RAG

NLP frameworks

Job description

Location: New York City
Work Mode: Hybrid, 8 hours/week in office

Internship Duration: 3 months

About DiligenceVault

DiligenceVault is an AI-powered diligence and decision intelligence platform used by allocators, investors and asset managers.

We help diligence teams turn messy documents, fragmented data, market intelligence, and manual workflows into intelligent automations, faster analysis, and better decisions.

The Role

We are looking for a curious, hands‑on AI Engineer Intern to help build and test practical AI capabilities inside a scaled enterprise product.

You will learn how fund diligence and investment research actually work, then help solve problems involving unstructured documents, semantic search, RAG, workflow automation, market intelligence, and AI evaluation.

This is a build-and-iterate role. You will be expected to move quickly from idea to proof of concept, test against real workflows, learn from failures, and improve what works.

What You’ll Work On

• Build automations for diligence processes
• Solve hard and messy data problems
• Embed market, regulatory, and public intelligence into product workflows
• Build and improve semantic search, multi-model architecture, RAG, document intelligence, and AI agents
• Rapidly prototype new AI ideas and help move successful PoCs toward production

What We’re Looking For

• Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field
• Strong Python skills and solid software engineering fundamentals
• Familiarity with LLMs, embeddings, RAG, NLP, or modern AI frameworks
• Comfortable working with messy, real‑world data
• Strong problem‑solving skills, user empathy, and a bias toward experimentation
• Curious about financial markets, investment research, and how technology can transform complex workflows

Prior investment‑industry experience is not required. Curiosity and the ability to learn quickly are.

What You’ll Get

• Hands‑on experience building AI for a production B2B SaaS platform
• Exposure to institutional investing, fund diligence, and market intelligence
• The opportunity to work on problems at the intersection of data, workflow, and AI at scale
• Direct collaboration with AI, engineering, product, and industry teams
• Competitive internship compensation