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Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Designs and leads the end-to-end architecture for a GenAI underwriting transformation, integrating LLMs, RAG, and cloud services to build production-ready AI solutions for insurance workflows.
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
Build production-grade agentic AI systems that analyze workplace data (surveys, reviews, goals) to power HR features like feedback and performance insights using Python, React, and graph/RAG techniques.
Build and deploy AI systems using Python, RAG, and Agentic AI frameworks like LangChain on AWS cloud services.
Lead Happiest Minds’ GenAI & Agentic AI practice, building Azure AI or AWS AI solutions, driving growth, pre-sales, and enterprise delivery with frameworks like LangGraph and CrewAI.
Build and maintain AI-powered features using Java full-stack and LLMs, RAG, and agentic workflows in a retail-focused product environment.
Role & responsibilities Designs and builds automated business workflows Integrates applications using APIs Automates repetitive processes Uses workflow tools like n8n, Make, Zapier, Power Automate Focuses on…
Lead the architecture and deployment of AI agentic systems using LangGraph, Crew AI, and Autogen, building scalable DevOps frameworks and CI/CD pipelines across AWS, Azure, and GCP.
Build and deploy AI agents for logistics workflows using LLMs, RAG, and agent frameworks; design prompts, tools, and evaluation pipelines to move solutions from pilot to production.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and own Qashio’s AI/LLM platform, designing secure, vendor-neutral systems for agent orchestration, RAG, and compliance controls from prototype to production.
Designs and builds AI-powered workflow automations and agents using Python, LLM APIs, and tools like n8n or CrewAI to integrate systems and streamline business processes.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and…
Lead a team of AI engineers to design and deploy enterprise-scale Agentic AI and GenAI solutions for Fortune 500 clients, setting MLOps standards and advising C-level executives on AI strategy.
Build and test AI-powered airline tools using Python, LLMs, and agentic workflows; validate accuracy, safety, and performance of generative AI systems for aviation operations.
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