Senior AI Engineer – Developer Products

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?

Workato fosters 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.

We believe in balancing productivity with self-care. We offer all employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

Recent recognition:

• 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

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.

Soft Skills / Personal Characteristics

• Collaborative team player with a passion for empowering developers and improving developer experience.
• Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment.
• Strong problem-solving skills and a continuous improvement mindset.

Location

San Francisco, CA (Onsite/Hybrid)

Compensation & Benefits

The salary range for this role is dependent on experience and ranges from $170,000 to $250,000. We also provide stock options to all employees and generous benefits.