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Senior AI Engineer at SWATX
Cairo, Cairo, Egypt -
Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Backend Development, APIs, Microservices, Model Serving, Local LLM Deployment, RAG System Design, Vector Databases, Model Fine-tuning, LoRA, PEFT, Transformer Architecture, Quantization Techniques, Embeddings, Linux, C#

Industry

IT Services and IT Consulting

Description
AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on- premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems. Responsibilities Analyze requirements and contribute to technical AI solution design. ∙Strong programming skills in Python (mandatory). ∙Experience in backend development (APIs, microservices, model serving). ∙Hands-on experience with local LLM deployment and optimization. ∙Experience in RAG system design and vector databases. ∙Practical experience in model fine-tuning (LoRA / PEFT). ∙Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval. ∙Experience working in Linux environments. ∙Participate in peer code reviews and team planning activities. ∙Provide task estimations and deliver within approved timelines. ∙Apply secure coding practices and participate in bug resolution with quality metrics in mind. Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or related discipline. 3-5 years of experience in AI Engineering. Proficiency in C#, .NET Core and Python. Experience with Structured and Unstructured databases. Experience with Angular or other frontend technologies is a strong plus. Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant) Familiarity with Git, RESTful services, and Agile development methodologies
Responsibilities
This role involves analyzing requirements and contributing to the technical design of AI solutions, focusing on building production-grade AI systems primarily using local models. Responsibilities include optimizing GPU-based training pipelines and developing scalable RAG, agentic, multimodal, and speech-enabled systems.