Job Requirements :- 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.Key Responsibilities :- 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. (ref:hirist.tech)

📌 Workato AI Developer - RAG Pipeline (Pune)
🏢 Twinpacs Sdn Bhd
📍 Pune