NetSuite Developer and AI Automation Engineer

EDB; Helena (MT); Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Wellness resources for employees

Wellness Fridays through 2026

Job summary

EDB is seeking a NetSuite Developer cum Administrator to own, extend, and automate our NetSuite environment. This hybrid role focuses 60% on development/integration and 40% on administration, delivering SuiteScript customizations, workflows, and AI-enabled features across Finance, Sales, Operations and Support.

You will collaborate with stakeholders to translate requirements into scalable solutions, leveraging LLM APIs and AI tools in scripts and workflows, while maintaining governance and data

Qualifications

• 5+ years of hands-on NetSuite experience in a combined administrator and developer capacity.
• Strong SuiteScript 2.x skills (JavaScript), including debugging, governance management and performance tuning.
• Proven experience with SuiteFlow, SuiteAnalytics, SuiteQL, saved searches and SDF deployments.
• Experience building and supporting integrations using REST/SOAP web services, RESTlets, JSON and OAuth 2.0.
• Solid understanding of NetSuite financial modules (GL, AP, AR, Revenue Recognition, Inventory, Procurement) and role/permission design.
• AI skills (mandatory): demonstrated experience applying generative AI or machine learning and prompt engineering to business systems with daily AI coding assistant usage.
• Working knowledge of Git and a sandbox-to-production release process.
• Strong analytical, problem-solving and communication skills; bachelor's in related field or equivalent experience.

Responsibilities

• Design, build, test and deploy SuiteScript 2.x solutions (User Event, Client, Scheduled, Map/Reduce, Suitelet, RESTlet and Workflow Action scripts).
• Build and maintain SuiteFlow workflows, custom records, forms, fields and saved searches.
• Develop SuiteTalk (SOAP and REST) and RESTlet integrations between NetSuite and CRM, banking and other data platforms.
• Write clean, documented, version-controlled code and follow SDF deployment practices.
• Identify and deliver AI use cases in NetSuite, such as invoice and document data extraction, transaction classification, anomaly detection, forecasting support and natural-language reporting.
• Integrate LLM APIs (Claude API) and NetSuite's N/llm module into scripts and workflows, with proper prompt design, guardrails and logging.
• Use AI coding assistants to speed up development, code review and test creation, while validating all output.
• Evaluate AI features and third-party AI tools for fit, cost, security and data privacy.
• Manage users, roles, permissions, subsidiaries, accounting periods and segregation-of-duties controls.
• Maintain sandbox and production environments, release management and the 2-per-year NetSuite release testing cycle.
• Monitor script performance, governance limits, integration failures and data quality; resolve issues quickly.
• Support month-end close, audit and compliance (SOX-style) requirements with accurate configuration and documentation.
• Gather requirements from Finance, Sales, Ops and other teams, and translate them into technical designs.
• Provide tier-3 support, user training and clear documentation.
• Mentor junior admins and analysts, and contribute to NetSuite roadmap planning.

Skills

SuiteScript 2.x

JavaScript

SuiteFlow

SuiteAnalytics

SuiteQL

REST/SOAP

OAuth 2.0

AI skills (LLM integration)

Git

Education

Bachelor's degree (CS / IS / Accounting / Finance)

Tools

RESTlets

SuiteTalk

SDF (SuiteCloud Development Framework)

Python

Node.js

Celigo

Boomi

Job description

EDB is seeking a NetSuite Developer cum Administrator to own, extend, and automate our NetSuite environment. This hybrid role focuses 60% on development/integration and 40% on administration, delivering SuiteScript customizations, workflows, and AI-enabled features across Finance, Sales, Operations and Support.

You will collaborate with stakeholders to translate requirements into scalable solutions, leveraging LLM APIs and AI tools in scripts and workflows, while maintaining governance and data