Forward Deployed Engineer

Workato, Inc.

Job Overview

Location

Hyderabad, India

Job Type

Full-time

Full Job Description

📋 Description

• Design, develop, and deploy advanced AI Agentic Solutions using the Workato Agentic AI platform that exhibit autonomous, proactive, and adaptive behaviors.
• Implement intelligent, autonomous, and efficient agentic AI workflows leveraging multi-agent collaboration, orchestration, and automation capabilities within the Workato platform.
• Build and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).
• Develop advanced prompting techniques, memory management systems, and behavior-planning protocols to enable LLMs and agents to reliably author and execute complex workflows.
• Act as a technical solutions expert by troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built on the Workato Agentic AI platform.
• Design and maintain robust, scalable AI-powered IT workflows featuring agent-based decision-making, dynamic retrieval mechanisms, and seamless integration via the Workato platform.
• Continuously monitor, optimize, and improve the performance, efficiency, and reliability of deployed AI systems.
• Collaborate directly with customers to understand business use cases and deliver tailored, scalable agentic AI and RAG-based solutions while ensuring alignment with technical and business objectives.
• Work with cross-functional teams to integrate AI workflows into existing enterprise IT frameworks, ensuring smooth deployment and operational continuity.
• Contribute to internal process improvements and expand Workato’s knowledge base through documentation and knowledge sharing.
• Participate in all phases of product development—from ideation to implementation—providing technical insights and expertise to shape product direction.
• Assist product managers in creating technical and design specifications that align with product goals and user needs.
• Translate complex technical concepts into clear, accessible insights for non-technical stakeholders through strong written and oral communication skills.
• Maintain deep familiarity with integration platforms, automation technologies, and enterprise application ecosystems to ensure effective solution delivery.

🎯 Requirements

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• 4+ years of relevant experience in design, development, and implementation, with at least 1 year of hands-on experience using Workato
• Proven experience in AI engineering with a focus on agent-based systems
• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
• Strong working knowledge of APIs (RESTful, SOAP/XML), data structures (JSON), and RDBMS/NoSQL databases
• Hands-on experience with Python, Java, or Ruby

🏖️ Benefits

• Flexible, trust-oriented culture that empowers employees to take full ownership of their roles
• Emphasis on balancing productivity with self-care
• Vibrant and dynamic work environment
• Opportunity to work with 50% of the Fortune 500 companies
• Exposure to cutting-edge AI Agentic AI platform and enterprise iPaaS technology
• Role in a Forbes Cloud 100 company and Deloitte Tech Fast 500 winner

Skills & Technologies

Python

Java

Ruby

REST

Remote

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Workato, Inc.

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About Workato, Inc.

Workato provides low-code/no-code enterprise automation and integration software that connects applications, data, and business processes across cloud and on-premises systems. Its platform offers pre-built connectors, recipes, and AI-powered workflow orchestration for finance, HR, IT, sales, support, and marketing functions. The company enables organizations to automate tasks without extensive coding, reducing manual effort and accelerating digital transformation initiatives. Workato serves mid-market to large enterprises worldwide through a subscription-based SaaS model, emphasizing security, governance, and scalability for complex integrations.

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