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.

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 .

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!

About The Role

We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services.

This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience.

Responsibilities

Design, build, and enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models. Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation. Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.

Drive the full development lifecycle : from ideation and architecture to deployment and continuous improvement. Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences. Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.

Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. Conduct code reviews and mentor team members to uphold high engineering standards.

Requirements

Qualifications

/ Experience / Technical Skills Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. 5+ years of experience as an ML Engineer, Data Scientist, or similar role. Strong Python programming skills and hands-on experience with NLP and LLM models.

Proven track record of deploying and maintaining ML services in production environments. Solid understanding of network protocols, API design, and developer tooling . Experience with relational and non-relational databases .

LLMops/MLops experience is a strong plus, especially in developer-facing products. Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.

Senior AI Engineer – Developer Products