Senior Full Stack Engineer (Gen & Agentic AI )experience in Mlops & FinOps
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About the Role
**Urgent requirement for** **Senior Full Stack Engineer** **(Gen & Agentic AI )experience in Mlops & FinOps is required for our banking clients in Abu Dhabi ,UAE** **Architect end-to-end AI solutions with GPT, Claude, Gemini, and beyond--Must** **Develop advanced models &Build scalable Vector DBs for enterprise-grade retrieval systems--Must** **Deploy workloads using Kubernetes, Docker, and containerized platforms & Integrate APIs for seamless interoperability across systems-
Key Skills for This Role
Full Job Posting
Overview
Urgent requirement for
Senior Full Stack Engineer
(Gen & Agentic AI )experience in Mlops & FinOps is required for our banking clients in Abu Dhabi ,UAE
Architect end-to-end AI solutions with GPT, Claude, Gemini, and beyond--Must
Develop advanced models &Build scalable Vector DBs for enterprise-grade retrieval systems--Must
Deploy workloads using Kubernetes, Docker, and containerized platforms & Integrate APIs for seamless interoperability across systems--Must
Implement MLOps & FinOps to ensure efficiency and cost optimization--Must
Skill set : Python, TensorFlow, PyTorch, SQL & NoSQL, and hands-on experience with open-source models, ONNX, and big data tools.--Must
Role Summary
We are looking for a highly skilled Full Stack AI Engineer to design, develop, and deploy advanced Generative & Agentic AI solutions.
The ideal candidate will have deep expertise across cloud-based LLMs, deep learning, and MLOps, with strong hands-on experience in building scalable AI architectures for both on-premises and cloud environments.
Key Responsibilities
- Architect and implement end-to-end AI/ML solutions leveraging GPT, Claude, Gemini, and other LLMs
- Develop and optimize transformer models, embedding models, and advanced prompting techniques
- Build and manage Vector DBs for scalable retrieval systems
- Deploy and orchestrate AI workloads using Kubernetes, Docker, and containerized systems
- Integrate APIs and ensure seamless interoperability across platforms
- Implement MLOps pipelines and FinOps practices for efficient lifecycle and cost management
- Conduct rigorous model evaluation and benchmarking for performance optimization
- Design architectural frameworks for AI solutions across on-prem and cloud platforms
- Collaborate with cross-functional teams to integrate AI into enterprise systems
- Skills: fullstack,ai,gen ai
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