Senior Full Stack Engineer (AI & GenAI)
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Key skills for this role
About the Role
D4 Insight is looking for a highly skilled Senior Full Stack Engineer with expertise in Generative AI, Agentic AI, Full Stack Development, and Cloud Technologies to build intelligent enterprise applications.
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
- 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
Requirements
- 5+ years of experience
- Expertise in Generative AI, Agentic AI, Full Stack Development, and Cloud Technologies
- Proficiency in Python, GPT, Claude, Gemini, TensorFlow, PyTorch, Transformers, and Embeddings
- Experience with SQL and NoSQL databases
- Experience with Azure cloud platforms
- Experience with Docker, Kubernetes, CI/CD, and MLOps practices
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.
Key Responsibilities Full Stack Development
- 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.
Key Responsibilities AI & Data Engineering
- 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.
Key Responsibilities Cloud & DevOps
- 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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