Gen AI Engineer

Job Title:

Gen AI Engineer Location:

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

Employment Type:

Contract Experience Required:

5 8+ Years 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.