6 дней назад
Sr Programmer 10515 - Workato Integration & AI Automation Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Programmer 10515 - Workato Integration & AI Automation Developer (AI) (Workato, Python, enterprise integrations): Building enterprise integrations, automation solutions, and AI-powered workflows across Salesforce and other business applications with an accent on Workato recipes, integration architecture, and AI/GenAI technologies. Focus on designing agentic workflows, RAG-based applications, MCP integrations, and reliable API-driven automation with monitoring and error handling.
Location: Bangalore, India; hybrid workplace
Company
Enterprise IT environment focused on integrations, automation solutions, and AI-powered workflows across business applications.
What you will do
- Design, build, and maintain Workato recipes, custom connectors, API recipes, webhooks, callable recipes, and automation workflows.
- Integrate Salesforce, ServiceNow, Oracle, Snowflake, marketing platforms, and other SaaS applications.
- Build reusable Python components, APIs, utilities, and services for data processing, API orchestration, AI integrations, and automation.
- Design end-to-end integration architecture, system interactions, data flows, and event-driven processing.
- Develop AI/GenAI-powered automations, agentic workflows, MCP integrations, and RAG-based applications using enterprise data and LLMs.
- Implement error handling, retries, logging, monitoring, observability, security, scalability, performance, and maintainability standards.
Requirements
- 4–7 years of experience, including at least 4 years of hands-on Workato experience.
- Strong experience with Workato recipes, custom connectors, API Platform/API Recipes, webhooks, callable recipes, error handling, monitoring, and complex data transformations.
- Strong Python programming skills and experience with REST APIs, JSON, OAuth, API authentication, webhooks, and data integration patterns.
- Experience designing enterprise integration architecture and system-to-system data flows across multiple SaaS and enterprise applications.
- Experience with AI/GenAI, LLMs, prompt engineering, AI-powered automation, AI agents, agentic workflows, MCP, RAG, vector databases, and embeddings.
- Ability to independently design and implement end-to-end automation solutions.
Culture & Benefits
- Hybrid work arrangement in Bangalore.
- Collaboration with architects, developers, business analysts, and business teams.
- AI tools may support parts of the hiring process, while final hiring decisions remain with humans.
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