Senior AI Engineer at Workato

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Senior AI Engineer at Workato. . Location: Tbilisi, Georgia. About Workato. . Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.. . Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at . workato.com. .. . Why join us?. . 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. . . If this sounds right up your alley, please submit an application. We look forward to getting to know you!. . Also, feel free to check out why:. . . . 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. . We are looking for an exceptional . Senior AI Engineer.  to join our growing team. In this role, you will be involved in the development of AI products. .. You will also be responsible for:. . . . Build, extend  and fix AI services using LLMs and custom ML models. . . . Write well-designed, testable, efficient code in Python. . . . Improve validation and performance monitoring of ML services. . . . Contribute to all phases of the development lifecycle. . . . . Participate in designing and implementing solutions. . . . Evaluate and propose improvements to existing implementations. . . . Identify bottlenecks and bugs, and devise solutions to these problems. . . . Provide code reviews. . . . . Requirements. . Qualifications / Experience / Technical Skills. . . . Background in information systems, computer science, engineering, or equivalent industry experience preferred.. . . . At least 5 years of experience as ML engineer or Data Scientist. . . . Good python programming skills and experience with NLP models. . . . Experience deploying and running ML services in production. . . . Good understanding of network protocols and stacks. . . . Working experience with relational and non-relational databases. . . . LLMops/MLops experience is a strong plus. . . . Soft Skills / Personal Characteristics. . . . Strong written and oral communication skills in English. . . . Collaborative team player seeking continuous improvement opportunities.. . . . Adaptability to a dynamic startup environment, proactive with outside-the-box thinking. .