Asks for

The ad says“Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs”
The ad says“Experience deploying and maintaining production applications (Docker, AWS/GCP/Vercel)”
The ad says“Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)”
The ad says“Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)”
The ad says“Experience deploying and maintaining production applications (Docker, AWS/GCP/Vercel)”
The ad says“Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)”
The ad says“Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs”
The ad says“Experience deploying and maintaining production applications (Docker, AWS/GCP/Vercel)”
The ad says“Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)”
The ad says“2+ years of software engineering experience, strong in Python and/or JavaScript/TypeScript”
The ad says“Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs”
The ad says“Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)”
The ad says“Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)”
The ad says“Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs”
The ad says“Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines”
The ad says“Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines”
The ad says“Comfort with SQL/PostgreSQL and API integrations (REST, webhooks)”
The ad says“Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs”
The ad says“2+ years of software engineering experience, strong in Python and/or JavaScript/TypeScript”
The ad says“Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines”
The ad says“Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)”
The ad says“Comfort with SQL/PostgreSQL and API integrations (REST, webhooks)”
The ad says“Comfort with SQL/PostgreSQL and API integrations (REST, webhooks)”
The ad says“Deep experience with LLM APIs (Anthropic, OpenAI), including prompt engineering, function calling, and structured outputs”
The ad says“2+ years of software engineering experience, strong in Python and/or JavaScript/TypeScript”
The ad says“Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines”
The ad says“Experience deploying and maintaining production applications (Docker, AWS/GCP/Vercel)”
The ad says“Working knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines”
The ad says“Comfort with SQL/PostgreSQL and API integrations (REST, webhooks)”

About Niural

Niural is the AI-native platform for global payroll, benefits, payments, and compliance. We serve businesses in 150+ countries, combining regulated infrastructure, proprietary tax and compliance systems, global money movement, and EMMA, our executional AI coworker, to automate high-stakes business operations from Day Zero to IPO and beyond.

We're not just building products, we're redefining how companies operate in a new era of AI. If you want to build tools that influence the flow of billions of dollars and share in the upside of building foundational internet infrastructure, come help us shape the future of finance.

The Role

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.

What You'll Do

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
Build data pipelines that automate reporting, reconciliation, and exception handling for Accounting and Operations
Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries

Ship with AI-Native Development

Use Claude Code and other AI-assisted coding tools daily to move fast
Prototype rapidly, validate with real users, and iterate
Keep codebases clean and documented so tools can be extended over time

Support Sales & Marketing Systems

Build lead enrichment, CRM hygiene, and outbound personalization workflows
Build content generation and repurposing pipelines for Marketing
Give Sales faster access to prospect and market data

What We're Looking For

Must-Have

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

Nice-to-Have

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

Why Join Niural

Build systems that directly impact how a global fintech platform operates and scales
Work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
Ship constantly and see your work used by real people every day
Medical, Vision, and Dental benefits
Share in the upside of building foundational internet infrastructure, at Niural's NYC headquarters

Compensation

$55k - $60k