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engineering

Posted 4 hours ago

Software Engineer - Developer Products (AI)

at Workato

San Francisco, United StatesOn-site

Responsibilities

  • 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
  • Write clean, maintainable, and well-tested code, and contribute 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. •
  • 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

  • Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform.
  • 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.
  • You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI.
  • Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team. Requirements Qualifications /
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. • 3+ years of
  • experience of professional software development experience, with a proven track record of shipping high-quality products. •
  • You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models. •
  • Proven track record of deploying and maintaining ML services in production environments is a strong plus. •
  • Solid understanding of API design, developer tooling , software architecture, data structures, and algorithms. • LLMops/MLops

Contact

  • To learn more, visit www.workato.com Why join us?

Additional details

  • 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.
  • 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 . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of
  • 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!
  • 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 Responsibilities

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