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 while 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 prioritize developer ergonomics and experience.
- • Deploy and maintain ML services in production environments with a focus on reliability and scalability.
- • Leverage LLMops/MLops practices in the context of developer-facing platforms and sandbox environments.
- • Support and enhance developer platforms, APIs, and sandbox environments used by internal and external developers.
- • Apply strong understanding of API design, software architecture, data structures, and algorithms to solve complex engineering problems.
- • Work in a dynamic, startup-like environment requiring adaptability, proactivity, and creativity.
- • Communicate effectively in English, both written and verbal, to align cross-functionally and document technical decisions.
- • Foster a collaborative culture focused on empowering developers and improving the overall developer experience.
🎯 Requirements
- • 5+ 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, with 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
- • Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms
- • LLMops/MLops experience, especially in developer-facing products
🏖️ 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
- • Opportunity to work at a company recognized as one of Forbes’ Cloud 100 top private cloud companies
- • Opportunity to work at a company ranked as the #1 best company for remote workers by Quartz
- • Opportunity to work at a company ranked as the 17th fastest growing tech company in the Bay Area by Deloitte Tech Fast 500
- • Opportunity to work at a company named an "enterprise startup to bet your career on" by Business Insider
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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