Job Overview
Location
San Francisco, California
Job Type
Full-time
Category
Software Engineering
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and agentic application development.
- • Collaborate closely with product managers, designers, developer relations, and other engineers to translate developer needs and product requirements into elegant technical solutions.
- • Write clean, maintainable, and well-tested code, contributing to a high standard of engineering excellence within the team.
- • 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.
- • 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.
- • Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.
- • Build developer-facing products, APIs, SDKs, or CLIs that enable developers to interact with Workato’s ecosystem in the age of AI.
- • Deploy and maintain ML services in production environments with a focus on reliability and developer ergonomics.
- • Support and enhance developer platforms, APIs, or sandbox environments used for building LLM and agentic applications.
- • Apply LLMops/MLops practices to developer-facing tools and services to improve deployment, monitoring, and feedback loops.
- • Ensure high standards of API design, software architecture, data structures, and algorithms in all delivered solutions.
- • Act as a product-minded engineer with strong opinions on what constitutes a great developer experience.
- • Communicate effectively in English, both written and verbal, to align cross-functionally and document technical decisions.
- • Work in a dynamic, startup-like environment with adaptability, proactivity, and creativity to meet evolving product goals.
- • Empower developers by improving tooling, reducing friction, and enhancing usability across Workato’s developer ecosystem.
🎯 Requirements
- • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
- • 3+ years of professional software development experience, with a proven track record of shipping high-quality products.
- • Proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models.
- • Experience building developer-facing products, APIs, SDKs, or CLIs.
- • Proven track record of deploying and maintaining ML services in production environments is a strong plus.
- • LLMops/MLops experience, especially in developer-facing products, is a strong plus.
🏖️ Benefits
- • Flexible, trust-oriented culture that empowers employees to take full ownership of their roles.
- • Balance of productivity with self-care supported through a vibrant and dynamic work environment.
- • Multitude of benefits available to employees inside and outside of their work lives.
Skills & Technologies
About Workato, Inc.
Workato provides low-code/no-code enterprise automation and integration software that connects applications, data, and business processes across cloud and on-premises systems. Its platform offers pre-built connectors, recipes, and AI-powered workflow orchestration for finance, HR, IT, sales, support, and marketing functions. The company enables organizations to automate tasks without extensive coding, reducing manual effort and accelerating digital transformation initiatives. Workato serves mid-market to large enterprises worldwide through a subscription-based SaaS model, emphasizing security, governance, and scalability for complex integrations.
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