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genai developer

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a GenAI Developer to bring AI concepts to life. You will focus on developing the applications and interfaces that allow our employees and systems to interact seamlessly with powerful generative models.Responsibilities<ul><li>Develop full-stack applications that leverage Generative AI models to solve business problems.</li><li>Build intuitive user interfaces (chatbots, assistants, content generators) for AI-powered tools.</li><li>Write clean, maintainable code to orchestrate interactions between users, the application logic, and backend AI services.</li><li>Implement conversation state management and memory for long-running AI interactions.</li><li>Collaborate with Prompt Engineers to ensure the application logic correctly handles and formats model inputs and outputs.</li><li>Debug and resolve issues in AI applications, ensuring high availability and responsiveness.</li><li>Participate in code reviews and contribute to the team's library of shared AI components.</li></ul>Requirements<ul><li>Experience: 2 &ndash; 4 Years.</li><li>Strong full-stack development skills (Python, JavaScript/TypeScript, React/Vue/Angular).</li><li>Experience building applications on top of LLM APIs (OpenAI, Anthropic, etc.).</li><li>Familiarity with web frameworks (FastAPI, Flask, Django, Node.js).</li><li>Understanding of asynchronous programming and event-driven architectures.</li><li>Problem-solving mindset with a focus on user experience (UX) in AI applications.</li></ul>Bonus<ul><li>Experience developing plugins or extensions for Microsoft Copilot.</li><li>Background in mobile app development.</li><li>Familiarity with Speech-to-Text and Text-to-Speech integration.</li></ul>Job Type: Full-timePay: AED8,000.00 - AED14,000.00 per month

GenAI Developer

Nagarro

<div>Job Description 
Design and deliver enterprise-grade AI solutions across LLM, ML, and knowledge engineering domains. Work with engineering teams to build scalable, secure, and cloud-native AI architectures aligned with enterprise standards.
Key Responsibilities:<ul><li>
Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.</li><li>
Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.</li><li>
Implement vector databases with advanced indexing and low-latency retrieval.</li><li>
Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.</li><li>
Collaborate with stakeholders and communicate technical decisions clearly.</li></ul>
Must-Have Skills:<ul><li>
AI Application Solution Design</li><li>
Cloud-Native GenAI Development</li><li>
Data Science on Azure</li><li>
Machine Learning Solution Design</li><li>
Advanced RAG Workflow</li><li>
Hands-on Python and experience with agentic GenAI systems</li></ul>
Arabic proficiency is a plus.</div>

AI Solution Architect

Presight

<div>
 
 Overview
 
 
 
 Job Description: Principal Data Scientist | Abu Dhabi, UAE
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder and the region&rsquo;s leading big data analytics company powered by GenAI. We combine big data, advanced analytics, and AI to drive business and societal impact, helping public and private sector organizations realize their AI strategies faster.
 
 
 Position Overview
 
 
 We are seeking a Principal Data Scientist with deep expertise in large language models (LLMs) and applied AI, who can both shape the strategic direction of our GenAI capabilities and deliver cutting-edge solutions across sectors. This role goes beyond hands-on modelling&mdash;it encompasses setting the LLM and agentic AI strategy, building scalable frameworks, guiding technical teams, and influencing product and business roadmaps.
 
 
 The Principal Data Scientist will play a pivotal role in architecting Presight&rsquo;s AI ecosystem, ensuring our models are not only state-of-the-art but also aligned with organisational priorities, partner expectations, and responsible AI standards.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 Strategy &amp; Leadership
 
 
 <ul>
 <li>
 Define the strategic roadmap for LLMs and agent-driven AI within Presight, aligning with business goals, client needs, and regulatory frameworks.
 </li>
 <li>
 Act as the thought leader and subject matter expert, guiding executives and partners on GenAI opportunities, risks, and best practices.
 </li>
 <li>
 Mentor, coach, and upskill data scientists and engineers, building organisational capability in LLMs and applied machine learning.
 
 
 </li>
 </ul>
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Stay ahead of global research in foundation models, reasoning, and multi-modal AI; assess and integrate relevant breakthroughs into Presight&rsquo;s platforms.
 </li>
 <li>
 Represent Presight in the AI ecosystem (conferences, publications, collaborations) to enhance visibility and credibility.
 </li>
 <li>
 Establish frameworks for responsible AI&mdash;bias mitigation, fairness, security, and data governance.
 
 
 </li>
 </ul>
 Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Oversee the design and scaling of LLM-driven applications (knowledge assistants, copilots, decision intelligence tools, domain-specific copilots).
 </li>
 <li>
 Lead the creation of agentic workflows, integrating LLMs with enterprise data, APIs, and external systems for autonomous execution.
 </li>
 <li>
 Architect multi-modal AI pipelines, combining structured and unstructured data, vision, and knowledge graphs to unlock insights.
 </li>
 <li>
 Ensure production systems meet performance, scalability, and cost-efficiency standards.
 
 
 </li>
 </ul>
 Cross-Functional Influence
 
 
 <ul>
 <li>
 Partner with product, engineering, and client teams to translate AI research into real-world impact.
 </li>
 <li>
 Guide vendor and partner selection for LLM infrastructure, orchestration frameworks, and ecosystem tools.
 </li>
 <li>
 Serve as escalation point for technical complexity in strategic programmes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, AI/ML, Data Science, Applied Mathematics, or a related field.
 </li>
 <li>
 8+ years of progressive experience in AI/ML, with at least 3 years at a strategic or principal/lead level.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Proven leadership in defining and executing LLM/GenAI strategies in complex organisations or large-scale projects.
 </li>
 <li>
 Track record of deploying LLM-powered applications into production at enterprise scale.
 </li>
 <li>
 Experience building or influencing multi-disciplinary AI teams (data science, engineering, product).
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Deep knowledge of LLM fine-tuning, evaluation, and optimisation (RLHF, RAG, prompt engineering, alignment).
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Milvus).
 </li>
 <li>
 Expertise in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
 </li>
 <li>
 Ability to set direction, inspire teams, and communicate complex concepts to both technical and executive audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to multi-agent systems and autonomous planning frameworks.
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and advanced reasoning models.
 </li>
 <li>
 Awareness of regulatory, ethical, and societal implications of GenAI at scale.
 
 
 </li>
 </ul>
 What Presight Offers
 
 
 <ul>
 <li>
 Culture: Inclusive, diverse, and innovation-driven environment with a global vision.
 </li>
 <li>
 Impact: High-visibility role driving Presight&rsquo;s LLM and GenAI strategy across industries.
 </li>
 <li>
 Career: Leadership pathway with accelerated growth, ecosystem engagement, and the chance to shape AI adoption at national scale.
 </li>
 <li>
 Rewards: Competitive package with healthcare, education support, leave benefits, and more.
 </li>
 </ul>
</div>

Principal Data Scientist

<div>Job Description 
We are seeking an AI Architecture Leader to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines technical leadership, solution design, and strategic advisory, focusing on Generative AI, agentic systems, and cloud-native engineering.
Key Responsibilities:<ul><li>
Define enterprise AI operating models, governance, and architectural standards.</li><li>
Lead multi-year AI transformation roadmaps and platform modernization.</li><li>
Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.</li><li>
Establish modular, reusable patterns for scalable and compliant AI platforms.</li><li>
Partner with business and tech leaders to shape AI strategy and value propositions.</li><li>
Conduct technical workshops, pre-sales reviews, and solution design sessions.</li></ul>
Must-Have Skills:<ul><li>
AI Application Solution Design (Strong)</li><li>
Cloud-Native GenAI Development (Strong)</li><li>
Data Science on Azure (Strong)</li><li>
Machine Learning Solution Design (Strong)</li><li>
Advanced RAG Workflow Design (Strong)</li><li>
Hands-on Python and experience with agentic GenAI systems.</li></ul>
Nice-to-Have:<ul><li>
Experience with Compass AI services.</li><li>
Arabic language proficiency (verbal &amp; written).</li></ul>
Join us to shape enterprise AI architecture and accelerate digital transformation across the UAE.</div>

Enterprise AI Architect

<div>
 
 Job Description
 
 
 
 Build and implement
 
 production-ready AI solutions
 
 including LLM pipelines, RAG systems, Conversational AI, and ML services on
 
 Azure
 
 . Ensure reliability, scalability, and continuous improvement across AI workloads.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop modular Python code for LLM, RAG, and ML components.
 </li>
 <li>
 Build APIs, orchestration scripts, and integration layers for enterprise apps.
 </li>
 <li>
 Implement RAG workflows, vector DB configurations, and prompt engineering.
 </li>
 <li>
 Deploy and monitor AI models using containerization and CI/CD pipelines.
 </li>
 <li>
 Collaborate with architects and product teams to refine designs and deliverables.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
 </li>
 <li>
 Python (Strong) and advanced RAG Workflow experience
 </li>
 <li>
 Hands-on with agentic GenAI components and ML pipelines
 
 
 </li>
 </ul>
 Arabic proficiency is a plus.
</div>

AI Platform & Application Engineer

<div>Job Description 
Build and implement production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure. Ensure reliability, scalability, and continuous improvement across AI workloads.
Key Responsibilities:<ul><li>
Develop modular Python code for LLM, RAG, and ML components.</li><li>
Build APIs, orchestration scripts, and integration layers for enterprise apps.</li><li>
Implement RAG workflows, vector DB configurations, and prompt engineering.</li><li>
Deploy and monitor AI models using containerization and CI/CD pipelines.</li><li>
Collaborate with architects and product teams to refine designs and deliverables.</li></ul>
Must-Have Skills:<ul><li>
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design</li><li>
Python (Strong) and advanced RAG Workflow experience</li><li>
Hands-on with agentic GenAI components and ML pipelines</li></ul>
Arabic proficiency is a plus.</div>

<div>Job Description 
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:<ul><li>
Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.</li><li>
Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.</li><li>
Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.</li><li>
Translate research into applied solutions and lead PoC evaluations.</li><li>
Manage end-to-end delivery, UAT, and production rollout readiness.</li></ul>
Must-Have Skills:<ul><li>
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design</li><li>
Python (Strong) and advanced RAG Workflow experience</li><li>
Hands-on with agentic workflows and scalable LLM integrations</li></ul>
Arabic proficiency is a plus.</div>

Lead Gen AI Engineer

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