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"Technical Delivery Engineer" Jobs in United Arab Emirates

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Technical Delivery Engineer

First Point Group · Abu Dhabi

MidFull-timeOnsite

About Our Client Our client is a leading AI-powered Observability and AIOps solutions provider , enabling enterprises to achieve greater visibility, automation, and operational excellence across complex IT environmen

Skills

IT operations, technical support, or deploymentLinux administrationPythonShell/Bash scripting

Discovered 2 weeks ago

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Technical Support Engineer

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) ·

MidContractOnsite

Position - Technical Support Engineer Domain - Network Support and Delivery. Location: Dubai, United Arab Emirates; long-term assignment based in Dubai. Office 118 - 16A, Vakson Building, Umm Al Sheif St, Dubai, Unite

Skills

H3C networking productsNetwork planning and HLD/LLDNetwork configuration, deployment and commissioningNetwork troubleshooting and technical support

Discovered Today

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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 1 weeks ago

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