Software Engineer (Backend)

Company Description ProcIndex builds AI agents for accounting operations for construction and manufacturing companies. Our product automates AP, AR, reconciliation workflows on top of the systems companies already use, including ERPs like NetSuite, SAP, QuickBooks, and Sage. We are AI-first and focused on reliability, auditability, and safe execution in financial workflows.

Role Description This is a backend engineering role on the early team. You’ll work directly with the CTO and CEO to build agents that read messy real-world inputs, reason over ERP and workflow context, call tools and APIs, maintain state, and take controlled actions in production systems. You’ll build core agent and sophisticated infrastructure around it which involves tool calls, workflow orchestration, integrations, data models, queues, retries, evals, observability, permissions, audit trails, and human review loops.

What You’ll Work On - Build agent systems that process unstructured inputs like invoices, emails, PDFs, ERP records, approvals, and reconciliation data - Design tool-calling infrastructure that lets agents safely read from and act through external APIs - Build workflow orchestration for agent execution, retries, review states, side effects, and failure recovery - Build integrations with ERPs, email providers, document systems, and finance tools - Work with TypeScript, Node.js, Fastify, PostgreSQL, Prisma, and modern LLM APIs - Turn ambiguous real-world workflows into reliable product behavior - Own features end to end, from design through production

Qualifications - 2+ years of industry software engineering experience, excluding internships - Strong TypeScript, Node.js, and JavaScript experience - Experience building integrations with third-party APIs - Proficiency with modern web frameworks such as Next.js, React, or Fastify - Familiarity with PostgreSQL and Prisma, or similar ORMs - Excellent problem-solving skills and ability to work independently - Comfortable with ambiguity and fast iteration - Experience with LLMs, agents, skills, MCP, evals, or tool calling - Bachelor’s degree in Computer Science or related field preferred