Principal AI Engineer

About Us

About The Role

What You'Ll Be Working On

• **AI systems, end to end:** Architect and implement production AI applications and agentic workflows, owning each one from concept to running system.
• **Enterprise integrations:** Connect AI systems to enterprise platforms, APIs, and external services through integration layers you design and build.
• **Data and document pipelines:** Turn messy, real-world unstructured data into production-grade extraction and processing pipelines.
• **MLOps and DevOps:** Stand up and run the deployment, CI/CD, and monitoring infrastructure behind your systems — you ship and operate what you build.
• **Technical direction:** Define the architecture patterns, evaluation strategy, and guardrails for how we build AI, and prove them out in code.
• **Production quality:** Drive observability, evaluation, latency, and cost across AI workloads.

What We'Re Looking For

• Strong backend engineering background with production Python; you build systems meant to run, not demos.
• A track record of carrying AI systems solo across the full lifecycle — design, implementation, deployment, and operation.
• Experience building **agentic / LLM-based systems**, with a clear point of view on system design and reliability.
• Experience integrating AI with **enterprise systems and APIs**.
• Practical **RAG and document intelligence** experience, including the data-quality realities of production.
• Solid **MLOps and DevOps** foundation: CI/CD, containerization, deployment, monitoring, and infrastructure. Experience with Git workflows and repository management.
• Sound judgment on **production LLM concerns**: evaluation, latency, cost, and scaling.
• Ability to operate as a technical leader — owning ambiguous problems end to end and setting direction for others
• Nice to Have
• Experience delivering **multi-tenant SaaS or enterprise-grade solutions**.
• Computer vision or multilingual NLP experience.
• Familiarity with modern cloud and deployment stacks.
• Computer vision experience (e.g., layout/document models, YOLO-family).
• Comfort across the deployment stack (Render, containerized deploys, CI/CD).
• Mobile app development experience
• Pay: AED6,000.00 - AED8,000.00 per month

Application Question(S)

• "Tell us about a multilingual NLP project you have implemented. Which languages were involved, what challenges did you encounter, and which models or techniques did you use to handle multiple languages?"
• Do you have experience on the Mobile App Development?
• Have you personally trained, fine-tuned, or deployed a YOLO-based model or document layout analysis model in a production or commercial environment? Please provide a specific example.

Experience

• Delivering multi-tenant SaaS or enterprise-grade solutions.: 3 years (Required)