AI Engineer

Cognitive is seeking an AI Engineer to join their team in Abu Dhabi Emirate, United Arab Emirates. This role involves designing, developing, and deploying scalable generative AI solutions, managing LLM deployments, and training deep learning models for internal AI tools.

Cognitive is a specialist tech recruitment agency founded in 2021 in Dubai, offering tailored recruitment solutions. They have expert-level knowledge and deep industry connections in technology recruitment, focusing on areas like Data Science & AI, Software Development, Data Engineering, Cloud Computing, and Cyber Security.

Looking for an AI Engineer to design, develop, and deploy generative AI solutions. Apply now to join Cognitive!

Company Overview

Founded in 2021 in Dubai, Cognitive is a specialist tech recruitment agency providing agile and tailor made recruitment solutions ranging from standard contingent recruitment and retained executive search to a cost effective monthly retainer for scale-up projects. They pride themselves in understanding the science behind technology recruitment and have expert-level knowledge and deep industry connections globally. They take a consultative approach to each mandate, understanding business challenges to provide optimal solutions in Data Science & AI, Software Development & Engineering, Data Engineering & Big Data, Cloud Computing, and Cyber Security.

Quick Details

• Salary Range: Market Competitive
• Job Type: Full-time
• Qualifications: Bachelor's Degree
• Experience: 8+ years

Key Responsibilities

• Design and implement robust RAG pipelines to integrate Large Language Models (LLMs) with proprietary data sources.
• Architect and maintain complex Apache Airflow DAGs to automate data ingestion, cleaning, embedding generation, and model retraining workflows.
• Manage and optimize Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient storage and retrieval of high-dimensional embeddings.
• Maintain and monitor internal LLM deployments (hosting, scaling, and versioning), ensuring 99% uptime.
• Train, fine-tune, and deploy deep learning and LLM models to production environments.

Requirements

• At least Bachelor's Degree in Computer Science, Software Engineering, Data Science, AI or related field.
• 8+ years in Software Engineering overall.
• Solid experience in building LLM applications and RAG pipelines, in production.
• Production experience with Python and DBs.
• Optimizing GPU compute resources (vLLM, TensorRT).
• Open-source contributions to AI/MLOps libraries.
• Advanced model fine-tuning (LoRA, PEFT).
• Good foundation in linear algebra and statistics.

Benefits

• Opportunities to work with cutting-edge generative AI solutions.
• Manage and maintain LLM deployments for internal AI tools.
• Train and deploy deep learning and LLMs models to production.
• Work with a specialist tech recruitment agency with global connections.
• Contribute to AI/MLOps libraries through open-source contributions.