Senior Full Stack Engineer (Gen & Agentic AI )experience in Mlops & FinOps
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Key skills for this role
About the Role
We are looking for a Senior Full Stack Engineer with experience in Generative & Agentic AI, MLOps, and FinOps for a banking client in Abu Dhabi. You will architect end-to-end AI solutions, develop models, build vector DBs, and deploy workloads using Kubernetes and Docker.
Key Skills for This Role
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
Requirements
- Architect end to end AI solutions with GPT, Claude, Gemini, and beyond
- Develop advanced models & Build scalable Vector DBs for enterprise grade retrieval systems
- Deploy workloads using Kubernetes, Docker, and containerized platforms & Integrate APIs for seamless interoperability across systems
- Implement MLOps & FinOps to ensure efficiency and cost optimization
- Skill set: Python, TensorFlow, PyTorch, SQL & NoSQL, and hands on experience with open source models, ONNX, and big data tools
Full Job Posting
Urgent requirement
- Senior Full Stack Engineer (Gen & Agentic AI) experience in Mlops & FinOps is required for our banking clients in Abu Dhabi, UAE.
Must have skills
- Architect end to end AI solutions with GPT, Claude, Gemini, and beyond
- Develop advanced models & Build scalable Vector DBs for enterprise grade retrieval systems
- Deploy workloads using Kubernetes, Docker, and containerized platforms & Integrate APIs for seamless interoperability across systems
- Implement MLOps & FinOps to ensure efficiency and cost optimization
- Skill set: Python, TensorFlow, PyTorch, SQL & NoSQL, and hands on experience with open source models, ONNX, and big data tools
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
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