About the role

What will you do at DiligenceVault?

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
The Ask
When applying, please send us:
Something you’ve built with AI - a project, prototype, research, or other work using AI technologies
Your GitHub profile
Three bullets on why this internship interests you

Which skills does this role require?

PythonSoftware engineeringLLMsEmbeddingsRAGNLPAI frameworksData analysisProblem-solvingPrototypingWorkflow automationSemantic searchAI agentsDocument intelligenceAI EngineerInternshipSemantic SearchWorkflow AutomationData ScienceComputer ScienceSaaSB2BFinancial MarketsInvestment ResearchProof of ConceptMachine LearningArtificial IntelligenceGitHubDocument IntelligenceMulti-model ArchitectureAI AgentsMarket IntelligenceA/B Testing

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