Niural AI Product Operator at Niural builds internal tools and AI systems to automate manual work across the company. The role involves coding, architecting AI workflows, and deploying tools using AI-native development tools like Claude Code.
Responsibilities
You'll work alongside our Product team to build the internal tools and AI systems that eliminate manual work across Niural. The Product Manager identifies and prioritizes what needs automating. Your job is to turn those problems into working systems, fast.
This is a hands-on, in-office role at our NYC headquarters. You'll code, architect AI workflows, and ship internal tools using AI-native development tools like Claude Code, at a pace that would normally require a much larger team. We're looking for someone with a strong engineering mindset who's comfortable writing production-quality code, wiring up multi-step AI pipelines, and deploying tools that real teams rely on every day.
Build Internal Tools
Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing
Build with React, Next.js, Python/FastAPI, or similar, so tools are fast, reliable, and easy for non-technical teammates to use
Own the full lifecycle: build, deploy, monitor, iterate
Engineer AI Workflows & Agents
Design multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
Build AI systems for data extraction, document processing, classification, compliance research, and payroll validation
Implement prompt engineering, output validation, and error handling so AI systems perform reliably at scale
Integrate Systems & Automate Pipelines
Connect internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
Qualification
Working knowledge of RAG architecturesA strong bias toward shippingBackground in payroll
Required
2+ years of software engineering experience, strong in Python and/or JavaScript/TypeScript
Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs
Experience building multi-step AI workflows or agent-based systems
Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines
Comfort with SQL/PostgreSQL and API integrations (REST, webhooks)
Experience deploying and maintaining production applications (Docker, AWS/GCP/Vercel)
Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
A strong bias toward shipping. You'd rather have a working prototype today than a perfect plan next week
Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
Experience with agentic frameworks (LangGraph, CrewAI)
