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Mid-level Bangalore role with niche Workato expertise reduces broad applicant pool but still attracts integration engineers.
Platform-specific Workato and enterprise integration skills moderately limit cross-industry transferability.
Mandatory Workato, Python, API, and LLM/RAG skills create stringent technical filtering for candidates.
Design, build, and maintain complex integrations and automation workflows using Workato across Salesforce and multiple enterprise SaaS applications.
Develop AI/GenAI-powered automation solutions and agentic workflows that leverage LLMs, MCP, RAG, and enterprise data for intelligent operations.
Architect and implement scalable, secure integration solutions including APIs, connectors, error handling, and observability features.
4+ years of hands-on experience with Workato including recipes, custom connectors, API platform, webhooks, and error handling.
Strong Python programming skills for building reusable integration components and automation services.
Experience integrating SaaS and enterprise applications such as Salesforce, ServiceNow, Oracle, Snowflake, including API and event-driven architectures.
Knowledge/experience with AI/GenAI technologies, LLMs, prompt engineering, and integration of AI agents.
Expertise in designing end-to-end integration architectures and automation solutions in complex enterprise environments.
Proven ability to develop AI-augmented workflows and applications leveraging LLMs, RAG, vector DBs, and AI agents.
Strong cross-functional collaboration skills to translate business requirements into scalable automation and integration workflows.