AI Engineer

Company Description

Aralects is developing a gamified, self-paced app focused on teaching Arabic dialects like Egyptian, Lebanese, and Emirati to enhance real-world conversational skills. Personalized learning pathways powered by AI aim to make language learning more engaging and accessible. The company is committed to creating a culturally immersive platform for mastering Arabic dialects, catering to a wide audience for professional growth or personal interest.

Role Description

We're looking for a passionate AI Engineer to join Aralects on a full-time basis (remote or hybrid). You'll be working alongside experts in AI, NLP, and language learning, helping to shape a next-generation platform for Arabic learners worldwide. This is a chance to make a real impact, contribute to a meaningful product, and be part of a collaborative, ambitious team.

We welcome candidates who are eager to grow their skills and contribute in areas like: AI agent development, deep learning, large language model (LLM) fine-tuning, Retrieval-Augmented Generation (RAG), speech processing, prompt engineering, and more.

Responsibilities

• Design, build, and optimize AI-driven features for language learning, including conversational agents and recommendation systems
• Develop tools for processing Arabic dialects (morphological analyzers, generators, speech-to-text, text-to-speech, alignment, automatic annotation, etc.)
• Contribute to backend development, building scalable APIs and services to support AI features
• Fine-tune LLMs and other AI models for educational and language learning applications
• Stay up-to-date on the latest research and best practices in AI, deep learning, and NLP
• Collaborate closely with the software team to integrate AI components into the Aralects platform
• Document solutions and share insights with the team
• (Bonus) Contribute to research initiatives or publishing

Qualifications

• 3+ years of experience (projects, industry, not academic) in Python programming
• 1+ years of hands-on experience with PyTorch (academic or industry projects)
• 1+ years of experience with Arabic NLP, language technology, or similar linguistic AI projects
• Fluency in Arabic is required as the role involves developing and evaluating Arabic language learning materials and technologies.
• Bachelor or Masters degree (completed or in progress) in Computer Science, AI, Computational Linguistics, Machine Learning, or a related field
• Experience with Python backend development (e.g., FastAPI, Django, Node.js), including designing APIs and integrating AI models into production systems
• Familiarity with frontend frameworks (e.g., React, Next.js, Vue) and integrating backend services with user interfaces
• Good understanding of deploying, maintaining, and monitoring AI models in production environments
• Proficiency in using Docker for containerization and deployment
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and CI/CD pipelines is a strong plus
• Good command of software version control (e.g., Git) and collaborative development workflows
• Bonus: Experience with data engineering, MLOps, or research publication

Why Join Aralects Now?

This is an especially exciting time to join Aralects. We're preparing for our imminent product launch and are actively participating in prominent startup competitions. As part of our team, you'll get a front-row seat to the realities of building and scaling a tech startup from the ground up.

You'll have the chance to learn directly from founders and field experts, gain exposure to the fast-paced world of early-stage startups, and see your work directly impact a product as it launches to real users. Whether your passion is in AI, software engineering, or product development, Aralects offers an environment rich in mentorship, learning opportunities, and real-world experience.

Terms and Compensation

As an early-stage startup, Aralects offers relatively non-competitive cash compensation, supplemented with company equity. You'll have a real stake in our mission and future growth. We offer a flexible, remote-friendly work environment, hands-on mentorship, and meaningful responsibilities that will challenge and grow your expertise.