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Discovered MENA

Discovered MENA

Applied AI Engineer

London On-site 10+ yrs exp Staffing and Recruiting 78 employees£130k – £140k / year
Applied AIMachine Learning EngineeringSoftware EngineeringPythonSystem Design

Requirements

Candidates should have over 7 years of experience in Applied AI, machine learning engineering, or software engineering roles, with strong programming skills in Python. Proven experience in building and deploying AI/ML systems in production environments is essential.

Job Description

Applied AI Engineer – Abu Dhabi


THIS ROLE REQUIRES RELOCATION TO ABU DHABI, UAE.

Relocation assistance will be provided for selected candidates.


Discover the Opportunity

We’re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.


This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.


This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.


Discover the Role

As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.


You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.


Discover the Responsibilities

  • Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
  • Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
  • Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
  • Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
  • Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
  • Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
  • Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
  • Collaborate with cross-functional teams to deliver reliable, high-performance AI systems


Discover the Requirements

  • 7+ years of experience in Applied AI, machine learning engineering, or software engineering roles
  • Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
  • Proven experience building and deploying AI/ML systems in production environments
  • Hands-on experience working with large language models and deploying LLM-powered applications
  • Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
  • Experience designing scalable, reliable, and high-performance systems


Preferred experience:

  • Experience building RAG systems end-to-end, including retrieval pipelines and vector search
  • Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
  • Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
  • Exposure to conversational AI systems, including speech or real-time interaction pipelines
  • Experience working with modern AI inference infrastructure and deployment environments


Skills

Applied AIMachine Learning EngineeringSoftware EngineeringPythonSystem DesignTestingPerformance OptimisationLarge Language ModelsAI/ML SystemsProduction EnvironmentsRetrieval-Augmented GenerationAgent-Based FrameworksConversational AIEvaluation FrameworksInfrastructureDeployment

About Discovered MENA

For nearly a decade, Discovered has operated at the centre of the region’s technology ecosystem. Today, we are proud to be the largest independent tech-focused talent partner in the region. We’ve supported early stage startups on the path to unicorn status, partnered with governments and enterprises undergoing digital transformation, and helped scale some of the most ambitious technology companies across the Middle East and beyond. As Ecosystem Partners to the DMCC’s AI and Gaming Centres and as speakers at industry events such as the Dubai AI Festival, we actively participate in shaping conversations around AI, digital infrastructure, and emerging technology across the region. We have also contributed to Dubai government led future-tech forums, supporting conversations around talent, innovation, and the future of the UAE’s technology ecosystem. Our teams speciality lies across AI, ML & Data, Software Engineering, Product & Design, Cloud & Infrastructure, Cybersecurity, Digital Assets & Web3, Immersive & Gaming, Creative & Digital, Sales and Marketing. In addition, we organise and run communities including ProductTank Dubai & Abu Dhabi, Outside the Stack, CloudConnect, Talent Tribe, and several others, creating spaces where leaders connect, share insight, and move the market forward. We are true believers in long term partnerships over transactions, trust over micromanagement, and building genuine ecosystems rather than simply filling roles. The result is a modern talent partner, trusted by founders, executives, and boards building what’s next.