Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
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!
Also, feel free to check out why:
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
We are seeking an exceptional Senior AI Engineer to join our team and build new AI services. You will collaborate closely with product and engineering to create scalable and intuitive services. This role requires a high technical standard.
In this role you will also be responsible to:
Design, build, and enhance AI services and APIs powering our Workato products, leveraging LLMs and custom ML models
Develop an enterprise grade agentic platform, knowledge retrieval services, multi-agent collaboration
Develop agentic evaluation framework, defining success metrics and criteria, leveraging LLM-as-judge approach
Working with data scientists and data engineers to define requirements for fine-tunes models and capturing eval datasets
Develop well-architected, testable, and efficient Python code for production services and experimentations
Implement and improve validation, monitoring, and observability for production-grade solutions
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
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Science or equivalent industry experience
5+ years of experience as a Software 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 AI services in production environments
Experience with open‑source agentic frameworks (e.g., LangChain, Google ADK) and vector databases / RAG
Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots
Experience with relational and non-relational databases
Familiarity with observability best‑practices
LLMops/MLops experience
Experience building or supporting developer platforms
Solid understanding of network protocols, API design, distributed architecture
Strong written and spoken English; ability to communicate complex ideas clearly to technical and non‑technical stakeholders
Curiosity and ability to be current with the latest technologies
Collaborative team player who takes initiative and thrives in a dynamic startup environment
Analytical thinker with a focus on continuous improvement and innovation
(REQ ID: 2354)