AI Backend Engineer (Backend & Infrastructure)

9h Digital

Job Summary:

As an AI Backend Engineer at 9H, you will play a key role in our Intelligent Accounts Payable (AP) platform. You will build and scale the core backend services, APIs, and machine learning infrastructure that deliver our explainable AI to clients. This is a hands-on role for a backend-focused engineer who is passionate about productionising machine learning and developing robust, scalable SaaS products. You won t just support the AI, you will build the engine that powers it.

• Build the AI-Powered Backend: Design, develop, and maintain scalable backend services and APIs that drive our Intelligent AP application, managing everything from data ingestion to user-facing results.
• Productionise Machine Learning: Deploy, monitor, and scale machine learning models in a multi-tenant environment. You will build and maintain the infrastructure for model serving, inference, and automated retraining pipelines.
• Bridge Models and Product: Develop the core application logic that integrates AI predictions into seamless user workflows, including intelligent exception handling and routing.
• Engineer for Scale and Security: Implement robust, secure data processing systems for ingesting and structuring complex financial documents (e.g., invoices from APIs, PDFs, emails) while ensuring strict client data isolation and auditability.
• Drive System Integration: Build and manage integrations with third-party ERP and financial systems, ensuring smooth data flow between 9H and our clients core business platforms.

Requirements:

• Bachelor s degree or higher in Computer Science or a related field.
• Fluency in English is essential.
• 4+ years of professional software development experience, with a strong focus on building and deploying production-grade backend services and APIs.
• Strong proficiency in Python and experience with frameworks such as FastAPI, Pandas, and Scikit-learn.
• Experience developing and productionising applications that use Large Language Models (LLMs), including prompt engineering, fine-tuning, or RAG.
• Analytical and product-minded, with a drive to understand the why behind your work and take ownership of features from conception to deployment.

Desirable:

• Proven experience building applications within a multi-tenant SaaS architecture.
• Experience with large-scale data processing and MLOps platforms such as Databricks, Spark, and MLflow.
• Experience integrating with third-party APIs, particularly for financial systems or ERPs (e.g., NetSuite, SAP, Oracle).

Culture:

We like go-getters who are willing to explore new frontiers and activate their personal and professional abilities in a fast-paced, flexible environment. In return, we offer a supportive atmosphere where you can achieve your goals, build your skills, and thrive, both career-wise and life-wise.
Are you ready to do what you do best?