
The integration platform for seamless workflow automation
Workato is a leading integration and workflow automation platform headquartered in Palo Alto, CA. With over 1,001 employees, the company has raised $415 million in Series D funding and serves a diverse range of customers, enabling them to automate processes and integrate applications seamlessly. Wor...
Workato offers flexible working arrangements with a hybrid remote model, generous PTO, and employee stock options. Additional benefits include health ...
Workato fosters a culture of integration and collaboration, focusing on empowering users with minimal technical skills to streamline their workflows. ...

Workato • Sofia, Bulgaria
Workato is seeking a Senior Machine Learning Engineer to develop AI services and frameworks for model performance and reliability. You'll work with Python to design and implement solutions that process high-volume data. This role requires expertise in machine learning and AI technologies.
You have 5+ years of experience in software engineering with a strong focus on machine learning and AI services — you've successfully designed and implemented scalable solutions that leverage AI technologies to solve complex business problems. Your proficiency in Python allows you to build robust applications that integrate seamlessly with various data sources and systems.
You possess a deep understanding of AI model performance and reliability — you've developed evaluation frameworks that ensure models operate effectively in real-world scenarios. Your experience with orchestration platforms enables you to facilitate collaboration among multiple AI agents and tools, driving efficiency in workflows.
You are skilled in implementing semantic retrieval and agentic search capabilities — your work has involved processing and reasoning over large enterprise knowledge bases, ensuring that data is accessible and actionable for users. You thrive in environments that require innovative thinking and problem-solving, and you are eager to contribute to a team that values creativity and collaboration.
Experience with cloud platforms such as AWS or GCP is a plus — you understand how to leverage cloud resources to enhance AI capabilities. Familiarity with data processing frameworks and tools will further strengthen your ability to deliver high-quality solutions.
In this role, you will be responsible for developing AI services that process and reason over high-volume real-world data at scale — your contributions will directly impact the efficiency and effectiveness of Workato's enterprise orchestration platform. You will design and implement an evaluation and observability framework for AI model performance, ensuring that models are reliable and meet business needs.
You will collaborate with cross-functional teams to develop an agentic orchestration platform that enables seamless interaction among multiple AI agents and tools — your expertise will help streamline complex workflows and enhance user experiences. You will also work on implementing semantic retrieval capabilities that allow users to access relevant information quickly and efficiently.
Your role will involve continuous improvement of AI services, including monitoring performance and making data-driven decisions to optimize outcomes — you will be at the forefront of innovation, driving the development of cutting-edge solutions that empower organizations to unlock new value.
Workato fosters a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles — you will be part of a vibrant and dynamic work environment that values innovation and collaboration. The company is recognized as a leader in enterprise orchestration, providing you with the opportunity to work on impactful projects that drive real business results.
You will enjoy a multitude of benefits that support both your professional and personal life — Workato believes in balancing productivity with self-care, ensuring that you have the resources and support needed to thrive in your role. Join us and be part of a team that is transforming technology complexity into business opportunity.
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