About Niural

At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.

We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.

The Role

You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them 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.

This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.

What You Will Do

Build Internal Tools

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

Engineer AI Workflows & Agents

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, output validation, and error handling to ensure AI systems perform reliably at scale

Integrate Systems & Automate Pipelines

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

Ship with AI-Native Development

Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity

Vibe code: move fast, prototype rapidly, validate with real users, and iterate

Maintain clean, well-documented codebases so that automations and tools can be extended over time

Support Sales & Marketing Systems

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

What We Are Looking For

Must-Have

1-2 years of software engineering experience with strong proficiency 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 AI/LLM APIs (Anthropic, 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 (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed

Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)

Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)

Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)