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AI Engineer at Tarjama&
Cairo, Cairo, Egypt -
Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Engineering, Production AI Pipelines, RAG Systems, Model Serving, Prompt Engineering, Model Evaluation, Model Optimization, Python, TensorFlow, PyTorch, MLOps, Cloud Environments, LLM Fine-Tuning, Vector Databases, CI/CD, Scalable Infrastructure

Industry

Translation and Localization

Description
Job Purpose The AI Engineer builds production-grade AI systems including RAG pipelines, fine-tuned models, prompt engineering, model evaluation, and scalable pipelines for enterprise deployment. Key Responsibilities AI System Development · Build and maintain production AI pipelines and supporting infrastructure. · Develop RAG systems, embeddings pipelines, and context-engineering layers. · Implement scalable model-serving, orchestration, and automation processes. Model Engineering & Optimization · Perform model selection, fine-tuning, and optimization for various use cases. · Conduct advanced prompt engineering for LLM-based systems. · Run model experiments, diagnostics, and performance tuning. Evaluation & Quality Assurance · Develop evaluation datasets and rigorous testing frameworks. · Validate model quality, accuracy, and consistency through experimentation. · Ensure models meet production-level reliability and performance standards. Deployment & Operations · Collaborate with DevOps/MLOps teams to deploy and maintain AI models. · Implement monitoring, observability, and error-handling mechanisms. · Ensure scalability, operational efficiency, and compliance. Qualifications & Requirements · Bachelor’s degree in Computer Science, AI/ML, Data Science, Software Engineering, or related field. · (4–7) years of experience in AI/ML engineering, applied machine learning, or similar roles. · Hands-on experience building production AI pipelines. · Strong Python skills and familiarity with ML frameworks (TensorFlow, PyTorch, etc.). · Knowledge of vector databases, RAG frameworks, and LLM orchestration. · Experience with CI/CD, MLOps, cloud environments, and scalable infrastructure. · Experience with LLM fine-tuning, evaluation, and advanced prompt engineering. · Experience in enterprise or government-level AI deployments.
Responsibilities
The AI Engineer is responsible for building and maintaining production-grade AI systems, including RAG pipelines and scalable model-serving processes. They will also collaborate with DevOps/MLOps teams to ensure operational efficiency and compliance.