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 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .
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. Thats 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
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
Bachelors or Masters 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 opensource agentic frameworks (e.g. LangChain Google ADK) and vector databases / RAG
Knowledge of agentic architectures and multiagent systems; experience building chatbased agents or copilots
Experience with relational and non-relational databases
Familiarity with observability bestpractices
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 nontechnical 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)
Required Experience:
Senior IC
A single platform to orchestrate data integration, app connectivity, and process automation across your organization.