engineering
Posted 4 hours agoSoftware 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