Design and deploy Retrieval-Augmented Generation (RAG) pipelines and agent-based AI systems using Workato.
• Deliver tailored solutions to clients, manage deployments, and ensure client success.
• Extend Workato recipes and implement custom logic using Python, Java, or Ruby.
• Contribute to process improvement and knowledge base documentation.
• Translate complex AI concepts for non-technical stakeholders.
Preferred candidate profile
Design and deploy Retrieval-Augmented Generation (RAG) pipelines and agent-based AI systems using Workato.
• Deliver tailored solutions to clients, manage deployments, and ensure client success.
• Extend Workato recipes and implement custom logic using Python, Java, or Ruby.
• Contribute to process improvement and knowledge base documentation.
• Translate complex AI concepts for non-technical stakeholders.
What Were Looking For (Must-Haves):
• Hands-on expertise in Workato (minimum 3 years) with agentic AI workflows, recipes, and connectors.
• Experience designing and deploying RAG pipelines and agent-based AI systems.
• Customer-facing engineering experience, including delivering tailored solutions and managing deployments.
• Integration and automation expertise (APIs, middleware, ESB, BPM, SOA, RPA, cloud apps such as Salesforce, NetSuite, ServiceNow, Workday).
• Proficiency in Python, Java, or Ruby for extending Workato recipes and implementing custom logic.