Senior AI Engineer - dubai - Tech Junction Ltd

    Tech Junction Ltd
    Tech Junction Ltd dubai

    1 day ago

    د.إ300,000 - د.إ480,000 (AED) per year
    Description
    Job Overview

    Job Title: Senior AI Engineer / AI Architect | Tangent International | UAE
    Recruiting Company: Tanint
    Job Location: United Arab Emirates
    Job Type: Contract (6 months, extendable with strong long-term potential)
    Application Method: Send CV to
    Hiring Timeline: Interviews happening ASAP; fast-track process

    Position Summary

    We are seeking a highly experienced Senior AI Engineer / AI Architect to lead the design and deployment of cutting-edge AI solutions. This role is pivotal in shaping next-generation AI systems that drive innovation and deliver measurable impact across complex domains.

    Detailed Job Description

    As a Senior AI Engineer / Architect, you will spearhead the development of advanced AI solutions, including Agentic AI, Retrieval-Augmented Generation (RAG/GraphRAG), and LLM-based multimodal chatbot systems. You will work closely with cross-functional teams to transform concepts into production-ready solutions, leveraging modern AI development practices and scalable infrastructure. This position offers the opportunity to influence strategic AI initiatives, work on high-impact projects in healthcare and other data-intensive sectors, and collaborate with global experts in a dynamic, forward-thinking environment.

    Key Responsibilities
    • Design, build, and deploy robust AI solutions leveraging Agentic AI, RAG/GraphRAG, and LLM-based multimodal chatbots
    • Architect and manage AI/ML infrastructure on cloud platforms (preferably Azure) or on-prem environments using OpenShift and Kubernetes
    • Implement modern AI development workflows, including AI coding assistants, PR-based processes, and automated testing
    • Develop and integrate Knowledge Graphs (TigerGraph, Neo4j) and LLMs for complex biomedical data modeling
    • Apply Reinforcement Learning techniques to enhance intelligent systems
    • Ensure compliance with healthcare data standards (FHIR/HL7) and optimize GPU utilization
    • Drive model evaluation, A/B testing, and explainability using SHAP and LIME
    • Oversee CI/CD pipelines for ML and automated testing frameworks
    Required Qualifications & Skills
    • Minimum 6+ years of experience in AI/ML/Data Science with proven delivery of production-grade solutions
    • Expertise in deploying and scaling models on Kubernetes with high reliability and performance
    • Strong proficiency in Python and ML/DS libraries (scikit-learn, pandas, PyTorch, TensorFlow)
    • Hands-on experience with LLMs, NLP, and agentic frameworks (LangChain, CrewAI, Microsoft Agentic Framework, MCP, A2A)
    • Familiarity with healthcare data standards (FHIR/HL7)
    • Proficiency in cloud platforms (Azure preferred; AWS or GCP acceptable)
    Nice-to-Have Skills
    • Experience with Knowledge Graphs and graph databases (TigerGraph, Neo4j)
    • Practical application of Reinforcement Learning in production environments
    • Familiarity with AI coding assistants (Cursor, Claude Code, GitHub Copilot)
    • Advanced understanding of multimodal AI systems and biomedical data modeling
    • Strong grasp of automated testing frameworks (pytest, unittest, pydantic)

    Recruitment Pro Tip: Highlight your hands-on experience with deploying AI solutions at scale and your ability to integrate cutting-edge frameworks like LangChain or CrewAI into production environments. Demonstrating practical expertise in Kubernetes orchestration and cloud-based AI infrastructure will significantly boost your chances of standing out during the selection process.

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