AI Product Operator Intern

Niural•New York, NY
•$20 - $25

About The Position

Niural is hiring an AI Product Operator Intern to work alongside its Product team, building internal tools and AI systems that reduce manual work across the organization. The Product Manager identifies and prioritizes automation needs; the intern turns those problems into working systems by coding, architecting AI workflows, and deploying internal tools. The role calls for an engineering mindset, production-quality code, complex multi-step AI pipelines, and tools that teams can rely on in their daily work. The position builds and maintains full-stack internal applications for teams including Operations, Data Research, Accounting, Sales, and Marketing; engineers AI workflows and agents; integrates internal systems and automates data and business processes; and uses AI-assisted development tools to prototype, ship, and iterate quickly. It also supports Sales and Marketing through lead enrichment, CRM hygiene, outbound personalization, content workflows, and tools for accessing prospect and market data. Success is measured by shipping working tools in the first 30 days, achieving active internal use and measurable reductions in manual work within 60 days, and owning a reliable, documented portfolio of AI systems integrated into company operations within 90 days.

Requirements

  • At least 2 years of software engineering experience, with strong proficiency in Python and/or JavaScript/TypeScript.
  • Hands-on experience building and deploying web applications using React, Next.js, Node.js, FastAPI, or equivalent.
  • Deep experience with AI/LLM APIs such as Anthropic and OpenAI, including prompt engineering, function calling, and structured outputs.
  • Experience building multi-step AI workflows or agent-based systems.
  • Knowledge of RAG architectures, vector databases such as Pinecone, Weaviate, or pgvector, and document-processing pipelines, with the ability to implement them when needed.
  • Comfort with databases, including SQL and PostgreSQL, and API integrations such as REST and webhooks.
  • Experience deploying and maintaining production applications using Docker and cloud platforms such as AWS, GCP, or Vercel.
  • Fluency with AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot.
  • Strong bias toward shipping, preferring a working prototype today over a perfect plan next week.

Nice To Haves

  • Familiarity with automation platforms such as n8n, Make, or Retool for rapid prototyping.
  • Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations.
  • Experience with agentic AI frameworks such as LangChain, LangGraph, or CrewAI.
  • Understanding of global payroll compliance, tax regulations, or labor laws.

Responsibilities

  • Develop and deploy full-stack internal applications, including web apps, dashboards, and admin panels, for Operations, Data Research, Accounting, Sales, and Marketing.
  • Own the lifecycle of internal tools: build, deploy, monitor, and iterate.
  • Design and build multi-step AI workflows using LLM APIs, agent frameworks, and RAG pipelines.
  • Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge-base question answering.
  • Implement prompt engineering, output validation, and error handling for reliable AI systems.
  • Integrate internal systems such as HRIS, payroll engines, CRMs, databases, Slack, email, and spreadsheets to eliminate manual data transfers.
  • Create data pipelines for reporting, reconciliation, and exception handling for Accounting and Operations.
  • Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries.
  • Use Claude Code and other AI-assisted coding tools to accelerate development; prototype rapidly, validate with users, and iterate.
  • Maintain clean, well-documented codebases so tools and automations can be extended over time.
  • Build lead enrichment, CRM hygiene, and outbound personalization workflows.
  • Create content generation and repurposing pipelines for Marketing.
  • Develop internal tools that help Sales access prospect and market data more quickly.
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