research
Posted 4 hours agoAI Researcher
at Workato
Singapore, SingaporeOn-site
Responsibilities
- Build and improve AI services using LLMs and custom machine learning models for production use cases. •
- Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring. •
- Write high-quality Python code that is testable, maintainable, and efficient. •
- Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost). •
- Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization. •
- Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights •
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.
- 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. •
- Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities. •
- 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
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