Gen AI Engineer with N8N Experience

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Job Title: Gen AI Engineer with N8N Experience

Job ID: JR1039758

Location: Jacksonville, FL / Charlotte, NC (Hybrid 3 Days/Week Onsite)

Job Summary

We are seeking a highly skilled Gen AI Engineer with strong experience in AI/ML solutions and hands-on expertise in N8N workflow automation and AI integrations. The ideal candidate will be responsible for designing, developing, and deploying AI-powered automation solutions, integrating Large Language Models (LLMs), and building scalable AI workflows for enterprise applications.

Key Responsibilities

• Design and develop Generative AI solutions using modern AI/ML frameworks and tools. • Build and maintain intelligent automation workflows using N8N. • Integrate AI models, APIs, and enterprise applications into automated workflows. • Develop AI agents, prompt engineering strategies, and LLM-based applications. • Work with OpenAI, Anthropic, LangChain, vector databases, and related Gen AI technologies. • Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions. • Optimize AI workflows for scalability, performance, and reliability. • Implement monitoring, logging, and security best practices for AI applications. • Support deployment and maintenance of AI solutions in cloud environments. • Troubleshoot and resolve workflow, API, and AI integration issues.

Required Skills

• 5 8+ years of experience in AI/ML engineering or software development. • Strong hands-on experience with N8N workflow automation. • Experience building Generative AI and LLM-based applications. • Proficiency in Python, JavaScript, or Node.js. • Experience with OpenAI APIs, LangChain, vector databases, and prompt engineering. • Knowledge of REST APIs, microservices, and workflow orchestration. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Understanding of AI model deployment and integration strategies. • Strong problem-solving and communication skills.

Preferred Qualifications

• Experience building AI agents and autonomous workflows. • Familiarity with RAG (Retrieval-Augmented Generation) architectures. • Knowledge of Docker, Kubernetes, and CI/CD pipelines. • Experience with enterprise automation and chatbot development. • Exposure to data engineering and API integration projects.