Senior AI Engineer – Developer Products

Workato•San Francisco, CA

1d•Hybrid

About The Position

Workato is seeking an exceptional Senior Software Engineer to join their San Francisco team to build new developer products. In this role, the engineer will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with the Workato platform. This involves collaborating closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. The role requires a high technical bar with an emphasis on developer ergonomics to ensure a delightful developer experience.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

Design, build, and enhance AI services and APIs powering the 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.