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AI Engineer

Urgent openingShree Dhanya Info for the post of the Data Entry Operator

Abu DhabiOn-siteFull-Time1d ago

Description

Location: Abu Dhabi Onsite

Experience: 6+ Years

Notice Period: Immediate to 30 Days

Good Communication : Mandatory

Should be from reputed companies only

Should be technically strong

About the Role

We are seeking a highly skilled and experienced Senior AI Engineer / Technical Lead to join our growing AI & Digital Innovation team. The successful candidate will play a central role in the design and development of enterprise-grade AI solutions, with a focus on building scalable, extensible platforms that support both conversational and transactional AI capabilities across multiple business functions.

This is a hands-on technical role suited to an engineer who combines deep AI implementation experience with the ability to lead technically, influence architecture decisions, and collaborate effectively with cross-functional teams. The ideal candidate is passionate about applied AI, has a strong engineering foundation, and has demonstrated experience delivering AI solutions in complex enterprise environments.

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Key Responsibilities

AI Solution Design & Development

  • Design, develop, and maintain scalable AI solutions that support both conversational (chat-based) and transactional business functions
  • Contribute to the architecture of AI platforms that are modular and extensible, enabling adoption across multiple business units with varying requirements
  • Evaluate and recommend appropriate AI tools, models, frameworks, and platforms based on use case requirements and organisational standards
  • Implement orchestration patterns that coordinate AI agents, models, and workflows in a coherent and reliable manner

AI Integration & Engineering

  • Build and maintain integrations between AI components and enterprise systems including CRM, ERP, document management, HR platforms, and communication tools
  • Design and implement APIs and integration patterns that enable seamless connectivity between AI capabilities and consuming applications
  • Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and multi-model coordination patterns based on solution requirements
  • Ensure AI solutions are engineered for performance, reliability, and maintainability in production environments

Conversational & Transactional AI

  • Develop conversational AI capabilities including intelligent chatbots, virtual assistants, and LLM-powered dialogue systems
  • Build transactional AI functions that automate or augment business processes such as document processing, data retrieval, approvals, and workflow automation
  • Support the design of solutions that handle both real-time and batch AI processing depending on the nature of the business use case

Governance, Security & Responsible AI

  • Apply responsible AI principles throughout the development lifecycle including fairness, transparency, explainability, and data privacy
  • Adhere to and contribute to AI governance practices covering model versioning, monitoring, and auditability
  • Ensure AI solutions are built in compliance with organisational security policies, data handling standards, and relevant regulatory requirements
  • Collaborate with the Information Security team to embed appropriate controls within AI solution design

Technical Leadership & Collaboration

  • Serve as a technical lead within the AI team, providing guidance and mentorship to junior engineers and developers
  • Work closely with solution architects, business analysts, and product owners to translate business requirements into sound technical designs
  • Participate in design reviews, technical discussions, and proof-of-concept evaluations
  • Contribute to the development of internal standards, engineering guidelines, and reusable AI components
  • Stay current with advancements in the AI space and proactively identify opportunities to apply emerging capabilities within the organisation

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