Python; AI​/ML Developer

Job Summary

We're looking for a Python (AI/ML) Developer to join our team in Al Khobar, Saudi Arabia
, in an on-site working mode
.

The Final date to receive applications is 13/08/2026.

• Lead the design and implementation of autonomous agents for task automation and external tool integration
• Integrate and enhance LLM capabilities for decision‑making and natural language understanding
• Develop and maintain tool chains involving retrieval‑augmented generation, vector databases and third‑party APIs
• Ensure operational safety and ethical compliance through implementation of guardrails and alignment checks
• Optimize model performance and scalability using MLOps and Dev Ops methodologies
• Manage end‑to‑end deployment on cloud infrastructure using container orchestration platforms
• Mentor junior team members and foster innovation through AI research and rapid prototyping
• Communicate technical insights and project outcomes clearly to stakeholders
• Collaborate with cross‑functional teams, including external vendors when necessary

• Expertise in designing and deploying autonomous AI systems with integrated safety and compliance measures
• 4+ years of experience with Python and deep learning frameworks (PyTorch or Tensor Flow)
• Experience deploying ML models in production using cloud platforms (AWS, Azure or GCP) and containerization tools (Docker, Kubernetes)
• Strong knowledge of MLOps practices including CI/CD, infrastructure as code and model monitoring
• Ability to collaborate effectively with diverse teams including product and engineering specialists
• Academic degree in Computer Science, Software Engineering or a related field
• Valid SCE (Saudi Council of Engineers) certificate (IT discipline) is required for this position
• Fluent English communication skills (B2 level or higher)

• Experience building or integrating custom AI agents and workflows using LLM APIs (OpenAI, Azure OpenAI)
• Exposure to AIOps platforms and AI‑driven observability tooling

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel allowance for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in‑house training and coaching, professional certifications, and courses

The usual working hours for full‑time roles at EPAM in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one‑hour unpaid lunch break. Working hours may vary based on client requirements and flexibility is accommodated whenever possible.

Al Khobar, Saudi Arabia – On‑site.