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Workato transforms technology complexity into business opportunity by helping 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.

Requirements

• Strong Python programming skills and hands-on experience with NLP and LLM models.
• Proven track record of deploying and maintaining ML services in production environments.
• Solid understanding of network protocols, API design.
• Experience with relational and non-relational databases.
• LLMops/MLops experience is a strong plus.
• Experience building or supporting developer platforms, APIs is highly desirable.
• Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots.

Responsibilities

• Design, build, and enhance AI services and APIs powering our Workato products, leveraging LLMs and custom ML models.
• Develop well-architected, testable, and efficient Python code 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.
• Continuously evaluate and optimize existing implementations for performance, scalability, and usability.
• Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.
• Production deployment & integration. Create and maintain APIs and microservices for model serving; build and maintain middleware layers integrating LLMs with existing systems.

Other

• Strong written and spoken English; ability to communicate complex ideas clearly to technical and non‑technical stakeholders.
• Collaborative team player who takes initiative and thrives in a dynamic startup environment.
• Adaptable mindset with willingness to switch tools or languages when needed.
• Analytical thinker with a focus on continuous improvement and innovation.
• • 5+ years of experience as an ML Engineer, Data Scientist, or similar role.