Software Engineer

• As an AI Agent Integration developer you will be responsible for designs, builds, and deploying intelligent AI agents that perform autonomous tasks such as reasoning, planning, decision-making, and interaction.
• These agents often leverage large language models (LLMs) and integrate into applications like chatbots, automation tools, or SaaS applications.
• You will be responsible in working closely with business users and application teams in developing and deploying AI agents using Enterprise AI tools such as Google Gemini, OpenAI ChatGPT or Microsoft CoPilot.
• You will also act as a subject matter expert and provide guidance, thought leadership, brainstorming and ideas on how to improve and make agents better or improve flows to applications and data that the AI agent will leverage.
• Design and implement scalable, resilient AI Agents that integrate with company data or processes
• Define processes, standards, and implementation oversight for all AI agent development at Camping World
• Lead infrastructure modernization initiatives and digital transformation projects using AI Agents for various workflows
• Collaborate with engineering teams to use AI agents to optimize workflows, security, and cost efficiency
• Research and develop standards, and tools for AI Agent usage and implementation
• Meet with vendors and stay knowledgeable on AI Agent roadmaps and future products
• Meet with application and business units to develop robust AI Agent solutions
• Design and build autonomous AI agents that can perform multi-step, complex tasks and make decisions independently.
• Developing robust and secure integrations (e.g., APIs, webhooks, or custom connectors) to enable AI agents to connect with and take actions within enterprise systems
• Creating and managing a network of specialized AI agents that work together to solve complex business problems. This involves designing protocols for agents to communicate, share information, and hand off tasks seamlessly
• Workflow Automation in translating complex business processes into automated, agent-driven workflows and implementing the logic that allows agents to perform those tasks
• Implementing and managing secure authentication and authorization protocols to ensure all agent actions are secure and compliant with enterprise security policies.
• Monitoring the health and performance of integrations and AI agents. This includes troubleshooting technical issues, optimizing workflows for speed and reliability, and continuously improving the agents' behavior through feedback from the business or users using the agent
• Provide support and knowledge on enterprise automation needs and help guide teams on how to automate some of the workflows via AI agents or possibly scripts and code.

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