AI Architect

🕒 May 26

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 54%

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Logo of Nimble Gravity

Nimble Gravity

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Nimble Gravity is a company specializing in AI acceleration and automation services, leveraging cutting-edge data science, generative AI, and digital technologies to transform business challenges into growth opportunities. They provide a comprehensive suite of services, including predictive and prescriptive analytics, digital transformation strategies, software engineering, e-commerce solutions, and CRM optimization, particularly using Salesforce. Nimble Gravity is known for creating AI-powered solutions such as automated generative AI agents and data-driven e-commerce strategies, helping businesses accelerate their digital transformation and improve decision making.

📋 Description

• Architect & Build: Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage, Document Intelligence, AI Studio/Foundry, VNETs). • Full-Stack Development: Develop systems using C#, Python, React, and modern frameworks like Entity Framework Core, LangChain, Semantic Kernel, and FastAPI. • Scalable & Secure Solutions: Create applications that are resilient, secure, and optimized for high performance. • Collaboration: Work closely with cross-functional teams, including data scientists and engineers, to turn abstract ideas into functional solutions. • Cloud-Native Focus: Lead the deployment and optimization of applications in Azure environments with strong consideration for cost efficiency and maintainability. • Innovate & Optimize: Explore new tools, frameworks, and methodologies to stay at the forefront of AI and software engineering.

🎯 Requirements

• Proven expertise in software engineering with experience in C#, Python, and React (TypeScript). • Hands-on experience with cloud platforms, particularly Azure, including services like AKS, Networking, and AI Studio/Foundry. • Familiarity with AI frameworks like LangChain, Semantic Kernel, and other AI libraries or tools, as well as techniques such as RAG, Agentic patterns, and workflow orchestration. • Strong grasp of modern development practices, such as containerization, CI/CD, and API design. • Demonstrated ability to design and build secure, scalable, and maintainable systems.

🏖️ Benefits

• N/A

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