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Senior engineer building enterprise-grade full-stack apps on Microsoft Azure, using AI tools like GitHub Copilot to accelerate secure development, testing, and deployment across React/TypeScript frontends and Java/Python backends.
Senior Full Stack Engineer building enterprise-grade cloud-native apps on Microsoft Azure using React/TypeScript, Java/Python, and AI-assisted tools like GitHub Copilot.
Builds scalable web apps with Spring Boot and React.js, integrates AI/LLM APIs, and deploys on AWS while optimizing databases like PostgreSQL and Redis.
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Build AI-powered full-stack apps for drone/robotics connectivity using Python, Flutter, React, and LLM APIs to automate workflows and enhance product intelligence.
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
Design and implement enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows to deliver scalable analytics and data products for business functions like Finance and HR.
Build full-stack apps with Angular frontends and C#/.NET backends, maintain CI/CD pipelines, and integrate AI/LLM APIs in a manufacturing-focused software team.
Build and deploy LLM-driven AI agents and generative solutions using Azure OpenAI, LangChain, and Hugging Face, focusing on RAG pipelines, multi-agent systems, and responsible AI.
Lead AI engineering and architecture for financial-services clients, designing GenAI and multi-agent systems, deploying RAG pipelines, and aligning solutions with EU regulations and enterprise standards.
Build internal tools and data pipelines for lawful data access workflows, ensuring privacy, security, and compliance with Legal and Security teams.
Senior engineer securing Clorox’s AI and data ecosystem, implementing DLP, DSPM, and GenAI security controls across cloud, SaaS, and AI platforms.
Build full-stack apps in Python and React.js, integrate AI agents via APIs, and deploy on cloud platforms with CI/CD.
Build and deploy AI/ML models and data pipelines using Python, SAS, and OpenAI APIs to turn data into actionable business insights.
Designs and implements cloud/hybrid data pipelines, advanced analytics, and AI-driven solutions (e.g., ML models, dashboards) to transform raw data into actionable insights for enterprise clients. Core tech: Azure/AWS/GCP, Python/SQL, Spark, Kafka, and Azure OpenAI.
Build and scale a global SaaS platform using .NET Core, TypeScript, and AWS, while integrating LLMs to enhance conversational voice intelligence products.
Build and maintain the FinFAST platform’s full-stack features, integrating LLM APIs for an AI research assistant and creating interactive dashboards to visualize economic data.
Build and optimize an AI-powered commerce platform that routes requests to the best model, handles billing for AI compute, and ensures low-latency, auditable decisions using Go/Python and Next.js/React.
Build and maintain AI multi-agent systems that automate business processes, integrate LLMs via APIs, and handle production workflows like RAG and prompt optimization.
Designs and builds AI-powered automation workflows, internal tools, and full-stack applications using Make.com, n8n, Next.js, and custom code to streamline business processes.
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