AI Engineer – Dubai | Navix AI

Company Overview:

Navix AI is a premier, highly successful artificial intelligence incubator, elite B2B SaaS development network, and leading regional innovator in high-performance logistics technology expanding its core engineering divisions in Dubai, United Arab Emirates. Built upon world-class operational metrics, rigid algorithmic governance, and progressive agentic framework models, the enterprise orchestrates specialized automated supply chain tracks, governs multi-tiered enterprise digital assets, and ensures absolute organizational alignment with international data security protocols, municipal shipping regulations, and advanced machine learning deployment standards.

Job Description:

We are executing a strategic professional appointment within our core technical systems branch and are seeking an experienced, operationally authoritative AI Engineer to govern intelligent product pipelines and direct machine learning automation pathways in Dubai. Configured for systematic digital solutions architects who possess an advanced technical command of Large Language Models (LLMs) and excel at structuring production-ready automated agents within fast-moving enterprise contexts, this full-time track focuses on accelerating processing velocities, auditing complex data pipeline queues, and maximizing model performance metrics across our specialized information technology jobs and engineering jobs networks.

🔹 Key Responsibilities:

• Design, implement, and deploy production-ready AI-powered workflows and intelligent software features for regional freight forwarding networks.
• Build, optimize, and integrate advanced Large Language Models (LLMs) into core commercial business applications and multi-tier organizational processes.
• Develop scalable, low-latency automation solutions for high-volume email correspondence, shipment documentation extraction, and complex supply chain systems.
• Create and maintain robust corporate data pipelines, structured prompt orchestration matrices, and multi-agent workflows to minimize processing friction.
• Collaborate seamlessly with cross-functional software architects, product managers, and UI designers to deliver high-quality cognitive user experiences.
• Continuously optimize live operational workflows to accelerate computational speed, minimize token latency, and boost application efficiency.
• Audit system telemetry logs, verify output token distributions, and configure fallback guardrails to secure model reliability parameters.
• Structure programmatic verification steps to evaluate text parsing accuracy and protect data fidelity across corporate document databases.

🔹 Requirements:

• Bachelor’s Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or an equivalent technical field from an accredited institution, cultivating a deep theoretical grasp of computational complexity, vector space logistics, and neural data processing frameworks.
• A minimum of 3 to 5 years of verified, high-performance professional history operating within an AI/ML development desk, automation track, or software engineering environment, demonstrating a proven capacity to launch and maintain production-grade systems within an agile B2B SaaS architecture or fast-growing startup structure based in Dubai.
• Advanced workspace data literacy with sharp capabilities structuring multi-layered processing algorithms, writing automation scripts, and indexing records within Microsoft Excel.
• Deep, comprehensive operational knowledge across the following primary functional dimensions:
  • Python programming paradigms, API integrations, microservices assembly, object-oriented code formatting, and environment optimization loops.
  • Large Language Models (LLMs) capabilities, token manipulation rules, vector database indexing, embedding logic, and custom application boundaries.
  • Workflow automation frameworks, robotic process orchestration, intelligent document processing (IDP) tools, and scheduling configurations.
  • Data pipeline management, structured prompt orchestration, LangChain or similar libraries, agentic interaction states, and memory retention tracks.
  • B2B SaaS application deployment structures, cloud hosting infrastructure parameters, version control systems, and security validation protocols.
• Outstanding verbal and written communication talents, sharp analytical troubleshooting habits under demanding deployment deadlines, strict attention to programmatic detail, and a highly innovative, team-oriented attitude under a unified corporate management framework.

What We Offer:

• Competitive baseline fixed monthly salary package structured from AED 5,000 to 6,000, determined entirely by past backend portfolio defense, live Python coding challenges, and agentic workflow integration simulations during panel interviews.
• An elite opportunity to capture total operational custody over high-value algorithmic pipelines and cognitive infrastructure within a leading-edge logistics technology company.
• Stable career advancement pathways backed by major corporate scale and clear internal tracks for senior machine learning engineers, AI product architecture directors, cloud systems infrastructure leads, or specialists moving toward core technical training and corporate hr jobs networks.