Principal AI Engineer

About Us

Smart Connected Solutions builds AI-powered automation for enterprise systems. We turn complex, real-world data and fragmented platforms into reliable, auditable automation that organizations trust in production.

About the Role

We’re looking for a Principal AI Engineer who owns AI systems end to end — from the architecture on the whiteboard to the code in production. You’ll work across a wide range of enterprise problems, combining backend engineering depth with applied LLM expertise. This is a senior builder’s role: you set the technical direction, and you ship it, taking systems from first prototype through deployment, operation, and iteration.

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)

Work Location: In person