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AI Engineer at Tarjama&
Beirut, Beirut Governorate, Lebanon -
Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

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

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.