Workato AI Developer - RAG Pipeline

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.