Senior AI / ML Engineer

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. 

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East's strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence
  
  

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions
  
  

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client
  
  

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives
  
  

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account
• Provide structured feedback from customer engagements to influence internal product and platform development
  
  

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments
  
  

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure
  
  

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints
  
  

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships
  
  

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact
• Willingness to travel or work on-site with clients as required
  
  

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles
• Prior experience working directly with customers on AI-driven applications is highly desirable
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically
  
  

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