Responsibilities
- Architect and implement agent-based AI solutions using the Workato Agentic AI platform.
- Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform.
- Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).
- Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.
- Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
- Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.
- Continuously monitor and improve AI system performance, ensuring efficiency and reliability.
- Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.
- Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
- Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
- Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
- Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
- Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Requirements
- BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must.
- 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.
- Knowledge of implementing integration projects is essential.
- Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.
- Strong working knowledge of APIs—RESTful, SOAP/XML.
- Solid understanding of data structures—JSON.
- Sound knowledge of any RDBMS/NoSQL.
- 2-3 years of coding experience (Java/Python/Ruby).
- Technical background or a solid understanding of technology and industry trends, especially in the app integration space.
Nice to Have
- 5+ years of experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus.
- Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.
- Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.
- Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.
Additional Information
- Support the US business hours from 6:30 PM to 3:30 AM IST!
