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Platform Product Engineer
Zone & Co
Remote, GBR
Full-time
Entry
Remote
Discovered 1 weeks ago
Artificial intelligence and machine learningLLMs and agent frameworks such as LangGraph, AutoGen, or DSPyPythonJavaScriptRelational and non-relational databasesProduction AI deployment
Free
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Ready to ScanKey skills for this role
Artificial intelligence and machine learningLLMs and agent frameworks such as LangGraph, AutoGen, or DSPyPython
Role Overview
Zone & Co is seeking a Platform Product Engineer, described in the body as an AI Software Engineer, to build production AI solutions for financial operations products.
The role collaborates with product, data science, and engineering teams to deliver scalable AI systems and business value.
The platform supports financial workflows within Oracle NetSuite, including quote-to-cash, procure-to-pay, treasury, payroll, and record-to-report.
Key Skills for This Role
Artificial intelligence and machine learningLLMs and agent frameworks such as LangGraph, AutoGen, or DSPyPythonJavaScriptRelational and non-relational databasesProduction AI deployment
Full Job Posting
Role overview
Zone & Co is seeking a Platform Product Engineer, described in the body as an AI Software Engineer, to build production AI solutions for financial operations products.
The role collaborates with product, data science, and engineering teams to deliver scalable AI systems and business value.
The platform supports financial workflows within Oracle NetSuite, including quote-to-cash, procure-to-pay, treasury, payroll, and record-to-report.
Responsibilities
- Design, prototype, and implement AI systems for real-world business applications.
- Build and deploy end-to-end AI/ML pipelines for product features.
- Collaborate with product managers, data scientists, and engineers on integrated AI solutions.
- Write clean, maintainable, and documented code using Python, JavaScript, or statically typed languages.
- Integrate AI/ML models into backend and frontend applications.
- Analyze large datasets to extract insights and support data-driven decisions.
- Evaluate AI frameworks, tools, and technologies based on project needs.
- Monitor and optimize deployed models for performance, scalability, and reliability.
- Lead experimentation and prototyping efforts for new ideas and algorithms.
- Participate in code reviews and mentor junior engineers.
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