We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams.<br><br>Responsibilities:<br>• Design and build AI applications that use Claude large language models to support business-focused automation and decision-making.<br>• Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution.<br>• Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments.<br>• Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data.<br>• Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost.<br>• Build backend services, utilities, and supporting components needed to power scalable AI products in production.<br>• Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions.<br>• Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.

• At least 3 years of experience developing artificial intelligence, machine learning, or agent-based software solutions.<br>• Strong programming ability in Python and JavaScript, with Node.js experience preferred.<br>• Hands-on experience working with Claude models and related AI provider integrations.<br>• Familiarity with Model Context Protocol or similar frameworks used to coordinate AI agents and tool execution.<br>• Experience building on cloud platforms, including services related to serverless computing, containers, networking, and security.<br>• Knowledge of enterprise API integration, vector databases such as Pinecone or Weaviate, and distributed system design.<br>• Experience with SQL and/or NoSQL databases in support of scalable application development.<br>• Nice to have: exposure to LangChain, React, AI optimization concepts, enterprise software customization, or consultative delivery in complex business environments.

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