Niural is the AI-native global PEO for the modern workforce. Our mission is to give every growing company enterprise-grade payroll, benefits, and compliance without the enterprise overhead. Built from scratch rather than retrofitted onto legacy systems, Niural combines payroll, PEO/ASO, global EOR, benefits, and vendor payments into one intelligent platform. Powered by EMMA, our AI coworker that executes end to end operations. Niural runs payroll and compliance across 150+ countries. Backed by a $52M Series A and $200M+ in annualized gross revenue on our PEO product alone, we're building the financial infrastructure that companies run their businesses on.
You are a builder and an owner. You’ll partner with the Product Manager to find where manual work is slowing teams down, decide what’s worth automating, and then build it. You won’t just take tickets. You’ll sit with Operations, Accounting, Sales, and Marketing, understand their workflows, and turn their problems into working systems, fast.
You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team. You’ll also set the standards for how internal tools get built here and help guide AI Operator interns as the team grows.
This role is for someone with a strong engineering mindset who has shipped production systems before, can make sound architecture decisions on their own, and knows how to keep tools reliable once real teams depend on them every day.
Partner with the Product Manager to identify, scope, and prioritize automation opportunities based on time saved and business impact
Work directly with department leads to understand their workflows and define what “done” looks like
Track and report on the impact of your tools, including hours saved, error reduction, and adoption
Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
Own the full lifecycle: build, deploy, monitor, and iterate
Design and build complex, 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, payroll validation, and knowledge base Q&A
Implement robust prompt engineering, evals, output validation, and error handling to ensure AI systems perform reliably at scale
Monitor model performance and cost, and make the call on when to use AI versus simpler rules-based logic
Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
Handle sensitive payroll and personal data responsibly, with proper access controls, logging, and security practices
Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
Move fast, prototype rapidly, validate with real users, and iterate
Set up the shared foundations (repo structure, deployment, monitoring, documentation) so tools can be maintained and extended by others
Build lead enrichment, CRM hygiene, and outbound personalization workflows
Create content generation and repurposing pipelines for the marketing team
Develop internal tools that give the Sales team faster access to prospect and market data
Review code and guide AI Operator interns on architecture, best practices, and shipping quality work
Share what you build and teach teammates how to get the most out of AI tools
2-4 years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
A track record of building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent) that people use every day
Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
Experience building multi-step AI workflows or agent-based systems that run reliably in production, not just prototypes
Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines
Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
Experience deploying, monitoring, and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
Ability to work directly with non-technical stakeholders, translate their needs into requirements, and push back when something isn’t worth building
Strong bias toward shipping. You prefer a working prototype today over 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)
Understanding of global payroll compliance, tax regulations, or labor laws
At Niural, we're building the future of global workforce management with a relentless focus on innovation and impact. Join a collaborative, mission-driven team in the heart of NYC, where you'll work alongside visionary leaders and top talent shaping how AI transforms benefits and underwriting. We offer competitive salary, attractive equity, comprehensive health, dental, and vision benefits, 401(k), and access to an unparalleled network of founders, investors, and industry events in NYC.
$55k - $60k