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TAT IT Technolgies
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Senior Full Stack Engineer (Gen & Agentic AI )experience in Mlops & FinOps
United Arab Emirates
· Contract
·
Mid-Senior
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--MustDevelop advanced models &Build scalable Vector DBs for enterprise-grade retrieval systems--MustDeploy workloads using Kubernetes, Docker, and containerized platforms & Integrate APIs for seamless interoperability across systems--MustImplement MLOps & FinOps to ensure efficiency and cost optimization--MustSkill set : Python, TensorFlow, PyTorch, SQL & NoSQL, and hands-on experience with open-source models, ONNX, and big data tools.--Must
Role SummaryWe 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 end-to-end AI solutions with GPT, Claude, Gemini, and beyond--MustDevelop advanced models &Build scalable Vector DBs for enterprise-grade retrieval systems--MustDeploy workloads using Kubernetes, Docker, and containerized platforms & Integrate APIs for seamless interoperability across systems--MustImplement MLOps & FinOps to ensure efficiency and cost optimization--MustSkill set : Python, TensorFlow, PyTorch, SQL & NoSQL, and hands-on experience with open-source models, ONNX, and big data tools.--Must
Role SummaryWe 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
Key Skills
Ranked by relevance
ai
mlops
cloud
kubernetes
docker
deep learning
tensorflow
big data
pytorch
python
nosql
sql
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- Posted
- Jul 02, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Abu Dhabi
- Company
- TAT IT Technolgies
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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