- 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.