Overview

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

You will work on building next-generation autonomous AI agents integrated with external tools and platforms, ensuring robust safety and compliance mechanisms throughout the development lifecycle. This role involves collaboration with data scientists, ML engineers and domain experts in an agile environment to design and deploy sophisticated AI models using deep learning frameworks and scalable cloud infrastructure. The position emphasizes continuous innovation, ethical AI practices and operational excellence, leveraging MLOps and DevOps principles for production-ready deployments.

Responsibilities

  • 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 toolchains 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 DevOps 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

Requirements

  • 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 TensorFlow)
  • 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 (with IT related discipline) is required for this position
  • Fluent English communication skills (B2 level or higher)

Nice to have

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

Saudi Arabia

  • 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
*All benefits and perks are subject to certain eligibility requirements

[epamgdo] Saudi Arabia (About EPAM)

About us

EPAM Systems is a leading global provider of digital platform engineering and software development services. Founded in 1993 and headquartered in Newtown, Pennsylvania, EPAM has been helping clients navigate digital transformation for over 30 years, delivering innovative solutions to stay competitive in constantly evolving markets.

As consultants, designers, architects, engineers and trainers, at EPAM, we specialize in building long-term partnerships, enabling businesses to reimagine themselves through a digital lens. In Saudi Arabia, EPAM operates in Riyadh and Al Khobar, offering cutting-edge engineering, strategy, design, consulting, and innovation services across industries.

[epamgdo] Saudi Arabia (Nature of work)

Nature of Work and Working Hours

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.

Our Locations in Saudi Arabia

Riyadh - Moon Tower, Mezzanine Floor, King Fahed Branch Road, AR Rahmaniyah, Riyadh, Saudi Arabia

Al Khobar - 21st Floor, Khobar Gate Tower, Al Bandariyah District, King Fahd Road, Al Khobar, Saudi Arabia

How to Apply, Recruitment Process and Deadline

If you meet the requirements and are eager to join EPAM, simply submit your application online by clicking on "apply” and providing your up to date CV and/or LinkedIn profile and other optional materials live cover letters and portfolios.

Once applied, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager; a client interview may also be included in some cases. If successful, you'll receive an offer and, upon acceptance, officially become part of our team. We look forward to welcoming you aboard!

Join EPAM today and contribute to shaping the future of technology while growing your career in a supportive, global work environment.