Forward Deployed Engineer

Workato; Town of Boston (NY); Vor Ort; USD 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Equity

Zusammenfassung

Workato is hiring for an AI Engineer role focused on architecting agent-based AI workflows and Retrieval-Augmented Generation systems using the Workato Agentic AI platform. You will implement scalable AI-driven IT workflows and collaborate with customers to tailor solutions that integrate seamlessly with existing ecosystems.

Ideal candidates bring 4+ years in design, development and AI engineering, strong API and cloud app experience, and excellent communication skills in English.

Qualifikationen

• BTech/BE or higher in Computer Science, AI, ML, or a related field.
• 4+ years of design, development, and implementation experience.
• 1+ year of experience with Workato or similar workplace orchestration and integration platform.
• Proven experience in AI engineering, with a focus on agent-based systems.
• Experience with integration projects, APIs, cloud apps, and data/workflow automation.

Aufgaben

• Implement agent-based AI solutions using the Workato Agentic AI platform.
• Develop and deploy RAG systems leveraging Workato connectors, workflows, and recipes.
• Design prompting, memory management and behavior planning for reliable LLMs and agents.
• Collaborate with customers to deliver tailored, scalable AI/RAG solutions.
• Work with cross-functional teams to integrate AI workflows into IT frameworks.
• Maintain robust, scalable AI-powered IT workflows and monitor performance.
• Contribute to product development and internal knowledge bases.

Kenntnisse

Java

Python

APIs RESTful

Workato

Integration platforms

Microservices

SQL/NoSQL

Cloud technologies

Ausbildung

B.Tech/BE in CS or related

Tools

Workato Platform

MuleSoft

Dell Boomi

Jobbeschreibung

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?

Ultimately, Workato believes in fostering a

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

Accolades

• Business Insider named us an “enterprise startup to bet your career on”
• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers

Responsibilities

• Implement agent-based AI solutions using the Workato Agentic AI platform
• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
• Implement 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 strong aptitude for 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

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• A total of 4+ years of relevant experience in design, development, and implementation.
• 1+ year of experience with Workato or similar workplace orchestration and integration 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
• 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
• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL
• Hands-on experience with any of the following: Java, Python, or Ruby
• Technical background or a solid understanding of technology and industry trends, especially in the app integration space
• Experience working with cloud business apps like Workday, NetSuite, Salesforce and ServiceNow - Marketo is a plus
• Good knowledge of microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact
• Strong critical thinking and analytical skills, with an entrepreneurial and proactive mindset
• Ability to effectively prioritize tasks and manage time, even under high-pressure situations
• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
• Fast learner who can independently conduct extensive research, and synthesize ideas, information, and options quicklyProactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.