AI Developer / Engineer (OpenAI, Anthropic) - Abu Dhabi UAE

Alfalogic Solutions; United Arab Emirates; On-site; AED 280,000 - 600,000; Full time

Job summary

Alfalogic Solutions in Abu Dhabi, UAE, is seeking an AI Developer (OpenAI, Anthropic) with 6 to 8 years of experience who can relocate on short notice. You will design, build, and deploy AI/ML models across concurrent projects and integrate LLMs into internal tools.

You will work with cross-functional teams, optimize models for performance and cost, and stay current with AI tools and practices. Relocation support may be available.

Qualifications

• 5+ years of experience developing AI/ML applications.
• Bachelor's degree in computer science, data science, engineering, or related field (or equivalent practical experience).
• Strong proficiency in Python with ML libraries.
• Experience with LLMs, prompt engineering, or generative AI APIs.
• Solid understanding of REST APIs, cloud platforms, and Git.
• Ability to work independently, prioritize effectively, and deliver under tight deadlines.
• Strong problem-solving skills and comfort with ambiguity.

Responsibilities

• Design, build, and deploy AI/ML models and applications across several concurrent projects
• Rapidly prototype proof-of-concepts to validate AI use cases for the business
• Integrate large language models (LLMs) and AI APIs into internal tools and products
• Build and maintain data pipelines to support model training and inference
• Collaborate with cross-functional teams to translate requirements into AI solutions
• Optimize models for performance, cost, and scalability in production
• Write clean, maintainable, well-documented code
• Stay current with emerging AI tools, frameworks, and best practices
• Prioritize and manage multiple parallel initiatives with shifting deadlines

Skills

Python

PyTorch

TensorFlow

scikit-learn

Hugging Face

LLMs prompt engineering

REST APIs

Cloud platforms (AWS/GCP/Azure)

Git

Independent work

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Alfalogic recruits AI Developer (OpenAI, Anthropic) with 6 to 8 years of relevant experience for Abu Dhabi, UAE. The candidate who is selected should be able to relocate and join in short notice for the project.

Key Responsibilities:

• Design, build, and deploy AI/ML models and applications across several concurrent projects
• Rapidly prototype proof-of-concepts to validate AI use cases for the business
• Integrate large language models (LLMs) and AI APIs (OpenAI, Anthropic, etc.) into internal tools and products
• Build and maintain data pipelines to support model training and inference
• Collaborate with cross-functional teams (product, data, business units) to translate requirements into AI solutions
• Optimize models for performance, cost, and scalability in production
• Write clean, maintainable, well-documented code
• Stay current with emerging AI tools, frameworks, and best practices
• Prioritize and manage multiple parallel initiatives with shifting deadlines

Required Qualifications:

• Bachelors degree in computer science, Data Science, Engineering, or related field (or equivalent practical experience)
• 5+ years of experience developing AI/ML applications
• Strong proficiency in Python; familiarity with libraries such as PyTorch, TensorFlow, scikit-learn, or Hugging Face
• Experience working with LLMs, prompt engineering, or generative AI APIs
• Solid understanding of REST APIs, cloud platforms (AWS/GCP/Azure), and version control (eg Git)
• Ability to work independently, prioritize effectively, and deliver under tight deadlines
• Strong problem-solving skills and comfort with ambiguity

Preferred Qualifications:

• Experience with vector databases, RAG (Retrieval-Augmented Generation) architectures
• Familiarity with MLOps tools and CI/CD pipelines
• Experience deploying models via containerization (Docker/Kubernetes)
• Background in NLP, computer vision, or data engineering
• Prior experience in a fast-paced startup or innovation team setting