Gen AI Engineer with N8N Experience

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.