Workato

Forward Deployed Engineer

Workato
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3 months ago
Hyderābād, IndiaMid Level
H1B Sponsor

Responsibilities

  • Implement agent-based AI solutions and autonomous multi-agent workflows using the Workato Agentic AI platform.
  • Develop and deploy RAG systems using connectors, workflows, and recipes to provide grounded, real-time LLM responses.
  • Develop prompting, memory-management, and behavior-planning techniques for LLMs and agents.
  • Troubleshoot, analyze, monitor, and improve scalable AI architectures, agent frameworks, and AI-powered IT workflows.
  • Work with customers to understand use cases and deliver tailored, scalable agentic AI and RAG solutions.
  • Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks and support smooth deployment.
  • Contribute to product development, technical and design specifications, internal process improvements, and knowledge sharing.
  • Translate complex technical concepts into accessible insights for nontechnical audiences.

Requirements

  • BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • At least 4 years of relevant experience in design, development, and implementation, including at least 1 year of Workato experience.
  • Proven AI engineering experience focused on agent-based systems and scalable AI-driven workflows.
  • Knowledge of integration projects, automation technologies, middleware, integration architecture patterns, web services, enterprise messaging, APIs, SOA, ESB, BPM, SDKs, and databases.
  • Working knowledge of RESTful and SOAP/XML APIs, JSON data structures, and an RDBMS or NoSQL database.
  • Hands-on experience with Java, Python, or Ruby.
  • Experience with Workato, TIBCO, Dell Boomi, MuleSoft, or other integration and automation platforms is a plus.
  • Experience with iPaaS, SaaS applications, cloud infrastructure, and cloud business applications such as Workday, NetSuite, Salesforce, ServiceNow, or Marketo is a plus.
  • Knowledge of microservices or API-based integration architecture, event-driven architecture, BPM, or RPA is a plus.
  • Strong collaboration, critical-thinking, analytical, communication, prioritization, research, and problem-solving skills.

Benefits

  • Flexible, trust-oriented work culture with employee ownership.
  • Vibrant and dynamic work environment with a multitude of employee benefits.
  • Company recognized by Quartz as a top company for remote workers.

Tech Stack

JavaPythonRubySOAP

Categories

AI ApplicationsForward Deployed
Workato

About Workato

1,001-5,000 employees

Workato is the leading Control and Execution Platform for Enterprise AI – the neutral platform enterprises trust to put AI to work across their business. We connect to every app, system, and process your business runs on, with no data migration, no rip-and-replace, so AI can reliably orchestrate business processes in production, at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500, including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors, Workato turns 14,000+ enterprise systems into one governed execution layer. AI has solved reasoning. The next frontier is execution, with Workato.