أدخل المسمى الوظيفي أو الكلمة الرئيسية

AI Development FDE

Capgemini


موقع الوظيفة:

دبي - الإمارات

الراتب شهرياً: لم يتم تقديمه من قبل صاحب العمل
تم النشر: 29 سبتمبر 2026 (نُشرت قبل 22 ساعة)
آخر موعد للتقديم: 27 ديسمبر 2026
عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

ملخص الوظيفة

My Role
  • Develop and integrate enterprise AI solutions including GenAI apps RAG pipelines AI agents copilots automation workflows and reusable AI platform components.
  • Build GenAI apps RAG components prompt flows data connectors APIs and AI agents.
  • Design and develop responsive user interfaces using React TypeScript HTML5 CSS3 and modern UI component libraries (Material UI Tailwind CSS or similar).
  • Implement vector indexes embeddings document processing and knowledge grounding using Azure AI services.
  • Create PoCs MVPs and reusable accelerators for client demonstrations and delivery mobilization.
  • Support testing evaluation groundedness checks performance tuning monitoring and cost optimization.
  • Document designs deployment steps and reusable implementation patterns.
  • Collaborate with consultants product owners architects UX designers and governance specialists.
Experience and Skills Required
  • 5-8 years in software data AI cloud development or automation.
  • Hands-on work building GenAI Agentic Harness RAG chatbot AI/ML or enterprise integration solutions.
  • Good Python and frontend capability plus APIs SDKs and source control.
  • Experience in agile teams and ability to communicate technical trade-offs clearly.
  • Python FastAPI or similar backend and frontend frameworks.
  • Strong experience in Python and modern frontend development using React or .
  • Azure OpenAI Azure AI Foundry Azure AI Search and Azure ML fundamentals.
  • RAG pipelines embeddings vector search prompt engineering and evaluation.
  • Agent frameworks orchestration tool calling and workflow automation.
  • APIs databases message queues files and enterprise connectors.
  • Git CI/CD containers configuration and automated testing.
  • AI quality: test datasets regression checks hallucination checks groundedness latency and cost.
  • Responsible AI implementation: content filters guardrails logging and human review.

عن الشركة

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A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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