9H Digital

AI Backend Engineer – Backend & Infrastructure

9H Digital

full-time

Posted on:

Location Type: Hybrid

Location: Sliema • 🇲🇹 Malta

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Job Level

Mid-LevelSenior

Tech Stack

ERPOraclePandasPythonScikit-LearnSpark

About the role

  • 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
  • Proven experience building applications within a multi-tenant SaaS architecture is desirable
  • Experience with large-scale data processing and MLOps platforms such as Databricks, Spark, and MLflow is desirable
  • Experience integrating with third-party APIs, particularly for financial systems or ERPs (e.g., NetSuite, SAP, Oracle) is desirable
Benefits
  • Ample learning and development opportunities
  • A fully flexible working environment
  • Fridays work until 15.00

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonFastAPIPandasScikit-learnLarge Language ModelsMLOpsDatabricksSparkMLflowAPI development
Soft skills
analyticalproduct-mindedownershipcommunication
Certifications
Bachelor’s degree in Computer Science