Largeton Group is seeking a highly skilled AI/Integrations Engineer with expertise in NetSuite Advanced Revenue Management and a strong background in AI development. The role focuses on designing, developing, and optimizing scalable systems that integrate financial automation with AI-driven capabilities.
Responsibilities:
- Design, develop, and maintain solutions within the NetSuite ecosystem, with a focus on the ARM module
- Implement and customize revenue recognition processes in compliance with accounting standards (ASC 606 / IFRS 15)
- Build and integrate AI-powered tools and services to enhance automation, analytics, and decision-making
- Develop APIs and middleware to connect NetSuite with internal and external systems
- Collaborate with finance, product, and data teams to translate business requirements into technical solutions
- Optimize system performance, scalability, and data accuracy across platforms
- Stay up to date with emerging AI technologies and evaluate their applicability to business needs
- Troubleshoot and resolve complex technical issues across financial and AI systems
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 3+ years of experience working with NetSuite, including hands-on experience with the ARM module
- Strong understanding of revenue recognition principles and financial workflows
- Experience in AI/ML development, including building or integrating AI tools (e.g., NLP, predictive models, or automation agents)
- Proficiency in one or more programming languages such as JavaScript, Python, or Java
- Experience with RESTful APIs, microservices architecture, and cloud platforms
- Strong problem-solving skills and attention to detail
- Experience with AI frameworks/libraries (e.g., TensorFlow, PyTorch, or similar)
- Prior experience working in finance, SaaS, or enterprise systems
- NetSuite certifications (SuiteFoundation, SuiteCloud Developer, or ARM-related certifications)
- Familiarity with data pipelines, ETL processes, and data warehousing
- Experience with LLMs, prompt engineering, or AI tool orchestration
- Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes)