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:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional AI/ML Engineer to join our growing team. Your primary focus will be on developing and maintaining sophisticated AI agents and generative AI applications. While the core of the role is backend AI development, experience with full-stack technologies will be a plus.
In this role, you will also be responsible to:
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Design and build scalable, reliable AI agents and generative AI systems using Python and modern LLM frameworks.
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Create and optimize APIs (REST/GraphQL) to integrate AI capabilities with various enterprise systems and LLM providers.
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Design and manage data pipelines and vector databases to support complex AI application requirements.
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Utilize cloud technologies and containerization tools like Docker and Kubernetes to ensure scalable and efficient AI infrastructure.
RequirementsQualifications / Experience / Technical Skills
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Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
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3+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
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2+ years in ML/AI development with strong proficiency in Python.
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Experience with LLM frameworks, vector databases, and API development.
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Experience with prompt engineering and AI agent architectures.
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Knowledge of RAG (Retrieval Augmented Generation) patterns.
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Familiarity with both SQL and NoSQL databases.
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Understanding of distributed systems, microservices architecture, and cloud-native development principles.
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Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes, or similar tools).
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Familiarity with any search engine technology is a plus (Elasticsearch, Solr, or similar).
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Strong analytical and problem-solving skills, attention to detail, and the ability to work independently and collaboratively.
Soft Skills / Personal Characteristics
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Strong communication abilities to explain technical concepts.
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Collaborative mindset for cross-functional teamwork.
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Detail-oriented with a strong focus on quality.
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Self-motivated and able to work independently.
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Passion for solving complex problems.
