Senior Full Stack Engineer (AI & GenAI)
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Key skills for this role
About the Role
D4 Insight is seeking a Senior Full Stack Engineer with expertise in Generative AI, Agentic AI, and cloud technologies to build intelligent enterprise applications in Abu Dhabi. The role involves designing AI-powered web applications, building secure APIs, integrating foundation models, and deploying on Azure.
Key Skills for This Role
Responsibilities
- Design and develop AI powered web applications and enterprise platforms
- Build secure APIs and backend services supporting AI driven workflows
- Develop scalable frontend interfaces integrated with AI capabilities
- Integrate OpenAI, Claude, Gemini, and other foundation models
- Design RAG architectures and AI orchestration workflows
- Build solutions using vector databases, embeddings, and semantic search
- Deploy AI applications on Azure and cloud native environments
- Support Docker, Kubernetes, CI/CD, and MLOps practices
Requirements
- 5+ years of experience in full stack development
- Expertise in Generative AI, Agentic AI, and foundation models (GPT, Claude, Gemini)
- Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (Azure)
- Experience with Docker, Kubernetes, CI/CD, and MLOps
- Strong knowledge of APIs, microservices, SQL and NoSQL databases
Full Job Posting
Role Overview
- We are looking for highly skilled Senior Full Stack Engineer with expertise in Generative AI, Agentic AI, Full Stack Development, and Cloud Technologies to build intelligent enterprise applications powered by modern AI capabilities.
- The role combines AI engineering, backend development, cloud architecture, and scalable application design to deliver next generation banking solutions.
Key Responsibilities
- Design and develop AI powered web applications and enterprise platforms.
- Build secure APIs and backend services supporting AI driven workflows.
- Develop scalable frontend interfaces integrated with AI capabilities.
- Optimize application performance, scalability, and reliability.
- Integrate OpenAI, Claude, Gemini, and other foundation models.
- Design RAG architectures and AI orchestration workflows.
- Build solutions using vector databases, embeddings, and semantic search.
- Develop AI driven automation and intelligent business applications.
- Deploy AI applications on Azure and cloud native environments.
- Support Docker, Kubernetes, CI/CD, and MLOps practices.
- Collaborate with AI Engineers, Product Teams, and Cloud Architects.
Required Skills
- Python
- Generative AI & Agentic AI
- GPT, Claude & Gemini
- TensorFlow & PyTorch
- Transformers & Embeddings
- SQL & NoSQL
- Azure / Cloud Platforms
- Docker & Kubernetes
- APIs & Microservices
- MLOps & Big Data
Preferred Skills
- ONNX
- FinOps
- AI Platform Architecture
- Enterprise AI Deployments
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