Principal AI Engineer
Listed on 2026-03-10
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
AI Agent Integration Developer
Job SummaryAs an AI Agent Integration developer you will be responsible for designing, building, 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 collaborate closely with business users and application teams to develop and deploy AI agents using Enterprise AI tools such as Google Gemini, Dev Rev, and Sierra.
You will also serve as a subject‑matter expert, providing guidance, thought leadership, and ideas on how to improve agents or enhance flows to the 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.
- Develop robust and secure integrations (e.g., APIs, webhooks, or custom connectors) to enable AI agents to take actions within enterprise systems.
- Create and manage a network of specialized AI agents that work together to solve complex business problems, designing protocols for agent communication, information sharing, and task handoffs.
- Translate complex business processes into automated, agent‑driven workflows and implement the logic that allows agents to perform those tasks.
- Implement and manage secure authentication and authorization protocols to ensure all agent actions are secure and compliant with enterprise security policies.
- Monitor the health and performance of integrations and AI agents, troubleshooting technical issues, optimizing workflows for speed and reliability, and continuously improving agent behavior through feedback from the business or users.
- Provide support and knowledge on enterprise automation needs and help guide teams on how to automate workflows via AI agents or scripts and code.
- Masters or bachelor’s degree in information & computer science.
- 5+ years of previous automation and developer coding experience.
- 3+ years of customer service and technical leadership.
- 2+ years of experience in AI tool and support.
- 2+ years of agentic AI development.
- 2+ years of agent AI integrations using various tools.
- Strong understanding of AI agent development using tools such as Google Agentspace, Gemini, ChatGPT, and Microsoft Co‑Pilot.
- Strong troubleshooting skills in developing AI agents with various tools.
- Strong experience in implementing and managing AI agents once deployed.
- Experience in integrations using AI agents, connecting to various data sources or SaaS applications.
- Strong proficiency in Python and in Java or JavaScript for AI agent development.
- Experience successfully deploying AI agent solutions.
- Solid understanding of core AI and machine‑learning concepts, including NLP, reinforcement learning, and LLMs.
- Hands‑on experience with AI/ML libraries and frameworks.
- Experience deploying AI tools and services enterprise‑wide.
- Experience documenting workflows and integration details.
- Experience securing AI agents properly.
- Strong decision‑making and operational skills.
- Excellent verbal and written communication skills.
- Proven track record of AI agent development and solutions.
- Excellent problem‑solving skills, utilizing internal and external resources.
- Strong knowledge of how applications work and are deployed.
- Strong knowledge of various AI tools and their benefits.
- Understanding of public cloud platforms such…
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