AI Engineer

This is a fully remote position, open to applicants in Saudi Arabia.

📋 Description

• Conceive, create, and implement AI-driven solutions that address real-world business challenges.

• Engage throughout the entire AI lifecycle—from data preparation and model development to deployment, monitoring, and optimization.

• Collaborate intimately with product managers, software engineers, and domain specialists.

• Take ownership of the complete AI lifecycle, which includes data exploration, model development, evaluation, deployment, monitoring, and ongoing enhancement.

• Conduct model evaluations, error analyses, and performance optimizations to ensure reliability and accuracy.

• Develop and improve AI applications powered by Large Language Models (LLMs).

• Construct Retrieval-Augmented Generation (RAG) systems, semantic search solutions, and AI assistants.

• Work with embeddings, vector databases, and contemporary AI orchestration frameworks.

• Assess and enhance model outputs for quality, relevance, latency, and user experience.

• Deploy and sustain AI services in cloud and containerized settings.

• Create scalable APIs and inference pipelines for real-time and batch processing workloads.

• Oversee AI systems in production and resolve performance or reliability issues.

• Collaborate with engineering teams to embed AI capabilities into customer-facing products.

• Partner with Product, Engineering, Data, and Customer Success teams to translate business needs into AI solutions.

• Contribute to technical discussions, design reviews, and best practices in AI.

• Stay informed of emerging AI technologies and suggest practical innovations that deliver business value.

⛳️ Requirements

• 2–4 years of professional experience in Artificial Intelligence, Machine Learning, Data Science, or similar engineering roles.

• Demonstrated experience in developing and deploying AI or machine learning solutions in production settings.

• Strong command of Python.

• Familiarity with machine learning and deep learning frameworks such as PyTorch or TensorFlow.

• Solid grasp of machine learning fundamentals, model evaluation methods, and performance optimization techniques.

• Experience in creating AI applications utilizing Large Language Models (LLMs).

• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector search principles.

• Experience in building APIs using FastAPI, Flask, or comparable frameworks.

• Understanding of software engineering best practices, version control, and testing methodologies.

• Experience in deploying AI models in production environments.

• Familiarity with Docker and cloud platforms like AWS, Azure, or GCP.

• Knowledge of monitoring, observability, and the reliability of AI systems.

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Ability to thrive in a dynamic, cross-functional environment.

• Preferred Qualifications

• Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.

• Experience with vector databases such as Pinecone, Qdrant, ChromaDB, Weaviate, or FAISS.

• Exposure to agent-based AI systems and workflow automation.

• Familiarity with MLOps practices, CI/CD pipelines, and model monitoring.

• Experience in computer vision, multimodal AI, recommendation systems, or NLP applications.

• Knowledge of self-hosted open-source models and contemporary inference frameworks.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Generous paid time off and holidays.

• Opportunities for professional development and continued education.

• Collaborative and innovative work environment.