AI Product Operator, LLM & Agentic Workflows
Overview
You will own the design and deployment of internal tools and AI systems that eliminate manual work across Niural, a platform moving billions in global payroll, benefits, payments, and compliance. You'll code production-quality applications and multi-step AI pipelines using Python, TypeScript, React, Next.js, FastAPI, Anthropic, OpenAI, LangChain, and Claude Code. You'll work alongside the Product team in our NYC headquarters, shipping at a pace that normally requires a much larger team. This is a hands-on role where you'll directly shape foundational internet infrastructure.
What You'll Do9
- 1Build full-stack internal applications including dashboards and admin panels for Operations, Data Research, Accounting, Sales, and Marketing using React, Next.js, Python/FastAPI.
- 2Own the full lifecycle of your tools: build, deploy, monitor, and iterate based on real user feedback.
- 3Design multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n), and RAG pipelines for data extraction, document processing, classification, compliance research, and payroll validation.
- 4Implement prompt engineering, output validation, and error handling so AI systems perform reliably at scale.
- 5Integrate internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer.
- 6Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across 150+ countries.
- 7Ship with AI-native development tools like Claude Code and Cursor to move fast, prototyping rapidly and validating with users.
- 8Support Sales and Marketing by building lead enrichment, CRM hygiene, outbound personalization, and content generation workflows.
- 9Keep codebases clean and documented so tools can be extended over time.
Requirements9
- 12+ years of software engineering experience, strong in Python and/or JavaScript/TypeScript.
- 2Hands-on experience building and deploying web applications with React, Next.js, Node.js, FastAPI, or equivalent.
- 3Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs.
- 4Experience building multi-step AI workflows or agent-based systems.
- 5Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines.
- 6Comfort with SQL/PostgreSQL and API integrations (REST, webhooks).
- 7Experience deploying and maintaining production applications with Docker, AWS/GCP/Vercel.
- 8Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot).
- 9A strong bias toward shipping: you'd rather have a working prototype today than a perfect plan next week.
Salary Insight
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