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"Developer Experience Engineer" Jobs in United Arab Emirates

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Developer Experience Engineer

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) · Abu Dhabi

SeniorFull-timeOnsite

The Institute of Foundation Models (IFM) is seeking a Developer Experience Engineer (AI/LLMs) to shape, validate, and optimize the end-to-end integration journeys for our frontier foundation models. Operating as an indep

Skills

Developer experience engineeringAI and foundation modelsSoftware engineeringApplied machine learning

Discovered 2 weeks ago

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Project Engineer (Developer Experience)

The Orchard Place ·

MidFull-timeOnsite

Project Engineer – UAE Location: Dubai, UAE Key Responsibilities Oversee daily site operations and ensure progress aligns with the approved project schedule and baseline. Monitor planned vs. actual progress and pro

Skills

Construction project engineeringConstruction methods and materialsProject progress monitoringProcurement coordination

Discovered 1 weeks ago

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Lead AI Engineer

Luxoft · Abu Dhabi

LeadFull-timeOnsite

Project description The project focuses on developing and productionizing advanced Generative AI solutions for investment and financial-services use cases, with a strong emphasis on LLM fine-tuning, model adaptation, eva

Skills

• Minimum of 8 years' experience in enterprise-grade developer roles. • Minimum of 3 years' relevant experience in AI-specific applications in an enterprise context, including some experience guiding, reviewing or coordinating the work of other engineers. • Bachelor's or master's degree in computer science or related discipline, or equivalent combined education and experience. • Technical experience in financial domain AI: Track record in building and leading the delivery of generative AI applications for financial services (trading, compliance, customer support). Experience in fixed income — bonds, FX, credit — would be preferred. • AI and LLM Integration: Python expertise, leveraging large language models (GPT-4, Claude) within AI pipelines. Experience with LangChain and LangGraph for orchestrating generative workflows and agentic • Generative AI Pipelines: Ability to design and own multi-step, retrieval-augmented generation (RAG) pipelines using Azure Cognitive Search to integrate structured/unstructured company data effectively, and to set the patterns the wider team re-uses behaviours, and for guiding other engineers' use of these frameworks. • Agentic System Design: Experience developing autonomous AI agents that handle context-aware interactions, leveraging recent advancements from OpenAI's Agents SDK. • Fine-Tuning and Customization (Optional): Practical experience fine-tuning or adapting LLMs to specific business tasks using modern techniques (LoRA, PEFT). • DevOps and Deployment: Familiar with CI/CD practices, containerization (Docker), orchestration (Kubernetes), and observability tools for deployment in regulated environments. • Excellent interpersonal skills, including collaboration, facilitation, and negotiation. • Excellent planning and organizational skills, including the ability to plan and sequence a workstream's deliverables and coordinate the effort of other engineers contributing to it.

Discovered 6 days ago

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