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EPAM
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Python AI Engineer

EPAMSaudi Arabia, Al Khobar
Work model
Office
Experience
2-5 years
Employment
Not specified
Compensation
Not disclosed
Technology signal
18 tags

Technology context

18

Parsed from the vacancy text; ordered by relevance to this role.

AILLMMachine LearningAzurePythonRAGKubernetesCloudBackendDockerRESTCI/CDGitAI Solution EngineeringClaudeDjangoFlaskPython ML

Full listing

Role description

We're looking for a Python AI Engineer to join our team in Al Khobar, Saudi Arabia, in an on-site working mode. This role focuses on developing production-ready AI/ML solutions and transforming AI prototypes into scalable backend applications. You will drive impactful solutions for enterprise clients through robust Python backend development, seamless system integration and close collaboration with cross-functional teams.

The deadline for submission is 17/09/2026.

Responsibilities

  • Design and develop Python backend services for AI/ML applications
  • Build and integrate APIs, ML models, LLM components, RAG pipelines, databases and external systems
  • Collaborate with data scientists, engineers, architects and stakeholders to move prototypes into production
  • Ensure code quality, performance, reliability, testing and maintainability
  • Support deployment, monitoring, debugging and continuous improvement of AI/ML services

Requirements

  • Strong Python development experience
  • Backend skills with FastAPI, Flask or Django
  • Experience with REST APIs, databases, Docker, Git and CI/CD basics
  • Practical understanding of ML/AI concepts, model inference and data processing
  • Experience integrating ML models or LLM components into backend systems
  • Ability to work independently with partially defined requirements
  • Familiarity with AI coding tools like Claude, Cursor and Git Copilot
  • Fluent English communication skills (B2 level or higher)
  • Academic degree in Computer Science, Software Engineering or a related field
  • Valid SCE (Saudi Council of Engineers) certificate (with IT related discipline) is required for this position

Nice to have

  • Experience with LLMs, RAG, embeddings, vector databases, LangChain, LlamaIndex and OpenAI/Azure OpenAI
  • Knowledge of cloud platforms, Kubernetes/OpenShift, message queues or MLOps tools