Senior AI Engineer (m/f/d)

Role Overview

Senior Ai Engineer

Key Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Lead the development of end-to-end AI pipelines, including data preprocessing, model training, evaluation, and deployment.
• Build and optimize solutions across domains such as NLP, computer vision, recommendation systems, and generative AI.
• Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into production systems.
• Optimize models for performance, scalability, and cost-efficiency.
• Research and evaluate emerging AI technologies and frameworks to drive continuous innovation.
• Establish best practices for model development, deployment, monitoring, and governance (MLOps / LLMOps).
• Mentor junior engineers and provide technical leadership within the team.
• Ensure ethical AI practices, fairness, and compliance with relevant regulations.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus).
• 7+ years of experience in AI/ML engineering or related roles.
• Strong programming skills in Python (and/or Java, C++).
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Proven experience deploying ML models into production environments.
• Solid understanding of statistics, algorithms, and data structures.
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices.
• Proficiency in data processing tools such as SQL, Spark, or Hadoop.
• Experience with generative AI, including large language models (LLMs) and transformer-based architectures.

Key Skills

• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Ability to translate business requirements into scalable AI solutions
• Leadership and mentoring capabilities

Genai & Advanced Ai Skills

• Experience developing Agentic AI workflows
• Strong understanding of the Agentic AI pipeline, including:
• + Agent runtimes
• + Memory management
• + Agentic architectures
• + LLMOps concepts
• Hands-on experience with:

+ Retrieval-Augmented Generation (RAG)

• + LLM fine-tuning techniques
• Experience with GenAI tools and frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex, etc.)

Preferred Qualifications

• Experience with model serving frameworks and APIs (e.g., FastAPI, Flask).
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Experience with CI/CD pipelines and DevOps practices.
• Exposure to data engineering or big data ecosystems.
• Domain experience (e.g., finance, healthcare, retail, telecom) is a plus.
• Senior AI Engineer in Abu Dhabi, United Arab Emirates