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"AI Engineer – LLM Data" Jobs in United Arab Emirates

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AI Engineer – LLM Data

Institute of Foundation Models · Abu Dhabi

Full-time

About The Institute Of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI buil

Skills

PythonMachine learningDeep learningNatural language processing

Discovered 4 weeks ago

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AI Engineer Internship – LLM Data

Institute of Foundation Models · Abu Dhabi

InternInternship

About The Institute Of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI buil

Skills

PythonMachine learning, deep learning, NLP, or large language modelsLLM data curation and processingData quality evaluation

Discovered 4 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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