[Hiring] Applied AI Researcher @Workato

Role Description

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.

In this role, you will also be responsible to:

• 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).
• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.
• 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.
• Contribute to technical design and code reviews, helping raise engineering quality across the team.
• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience.
• 3+ years of experience in Machine Learning Engineering, Data Science, or a similar role.
• Strong Python programming skills.
• Hands-on experience with NLP and/or LLM-based systems.
• Experience deploying and operating ML services in production.
• Strong understanding of software engineering fundamentals (testing, code quality, debugging, version control).
• Ability to work collaboratively in a fast-moving environment and drive projects with ownership.

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 or Snowflake.