Full Stack AI/ML Application Engineer📣 Job Ad

About Jobs for Humanity

Jobs for Humanity is committed to fostering an inclusive and equitable employment ecosystem. The organization collaborates with partners, including abdulaziz, to prioritize individuals from diverse backgrounds, aiming to build a workforce that reflects all walks of life.

Role Overview

Jobs for Humanity is seeking a Full-Stack AI/ML Application Engineer to join a team in Dammam. This full-time position is suitable for candidates with 0-1 years of experience. The role focuses on designing and building end-to-end applications that integrate AI/ML and Large Language Model (LLM) capabilities into production-grade products.

The primary objective of this role is to own the engineering of reliable and scalable full-stack AI features. This encompasses model integration and deployment, API development, data pipeline management, performance and security optimization, and automated testing, with an emphasis on delivering measurable improvements in accuracy, latency, and system robustness.

Key Responsibilities

• Develop full-stack applications, utilizing Python for backend services and TypeScript/JavaScript for frontend and services.
• Design and implement REST and/or GraphQL APIs.
• Integrate machine learning models using frameworks such as PyTorch and/or TensorFlow.
• Implement LLM integration and apply prompt engineering techniques.
• Deploy models effectively using tools like FastAPI and Docker.
• Design databases and manage data access, specifically with PostgreSQL and/or MongoDB.
• Perform cloud platform engineering tasks across AWS, GCP, and/or Azure.
• Take ownership of scalable APIs and data pipelines.
• Implement and maintain CI/CD pipelines and automated testing.
• Utilize version control systems, particularly Git.
• Optimize application performance and enhance security hardening.

Required Skills and Experience

• Proficiency in Python programming.
• Proficiency in TypeScript and/or JavaScript.
• Experience in building REST and/or GraphQL APIs.
• Hands-on experience integrating ML models using PyTorch and/or TensorFlow.
• Experience with LLM integration and prompt engineering.
• Experience deploying models, for example, with FastAPI and Docker.
• Experience with PostgreSQL and/or MongoDB databases.
• Experience with cloud platforms such as AWS, GCP, and/or Azure.
• Strong fundamentals in CI/CD and test automation.
• Solid version control skills using Git.

Work Location and Type

This is a full-time position located in Dammam, Saudi Arabia.

Application Process

Interested candidates are encouraged to submit their applications for this role.