Workato - AI Researcher
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Requirements
• Experience with tool-use agents or workflow-aware AI systems. • Experience building AI products in enterprise SaaS environments. • Experience with A/B testing and statistical significance techniques. • Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD). • Experience working with modern data warehouses such as Amazon Redshift Snowflake. • Job Req ID: 2724 • Job Req ID: 2724
Responsibilities
• We are looking for an exceptional AI Researcher to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems. • AI Researcher • Build and improve AI services using LLMs and custom machine learning models for production use cases. • Build and improve AI services • Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring. • Design, develop, and operate ML/LLM systems • Write high-quality Python code that is testable, maintainable, and efficient. • Write high-quality Python code • Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost). • Improve validation, observability, and performance monitoring • Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities. • Partner cross-functionally • Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization. • Evaluate and improve existing implementations • Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights • Design controlled experiments • Contribute to technical design and code reviews, helping raise engineering quality across the team. • Contribute to technical design and code reviews • Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes. • Experiment and iterate
Benefits
• 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. • flexible, trust-oriented culture that empowers everyone to take full ownership of their roles • innovation • team players • 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. • balancing productivity with self-care • 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
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