Workato is hiring a Senior Software Engineer (MLAI services)

About the Role

This position involves developing core infrastructure for machine learning and AI-driven services, ensuring high performance, scalability, and reliability across distributed systems.

Responsibilities

• Design and implement scalable backend systems for machine learning and AI functionalities
• Collaborate with data scientists and ML engineers to productionize models
• Optimize system performance and reliability for AI workloads
• Develop APIs and services that integrate ML capabilities into automation platforms
• Troubleshoot and resolve issues in production environments
• Write clean, maintainable, and well-tested code
• Participate in architectural design and technical planning
• Ensure systems can handle high-throughput and low-latency requirements
• Work closely with product teams to define feature requirements
• Support deployment and monitoring of ML-powered services
• Contribute to security and data privacy practices
• Evaluate new technologies and frameworks for AI infrastructure
• Maintain documentation for systems and processes
• Drive best practices in software engineering across the team
• Participate in code reviews and technical mentorship
• Scale infrastructure to support growing user demand
• Ensure fault tolerance and disaster recovery readiness
• Integrate with cloud-based machine learning platforms
• Monitor system health and respond to incidents
• Improve observability and logging for AI services
• Collaborate on cross-team initiatives involving AI components
• Support continuous integration and delivery pipelines
• Help define technical roadmap for MLAI services
• Ensure compliance with platform standards and policies
• Contribute to on-call rotations for critical systems

Compensation

Competitive salary and equity package

Work Arrangement

Hybrid or remote options available

Team

Part of the machine learning and artificial intelligence services team

Why This Role Matters

• The systems built in this role directly enable intelligent automation features used by thousands of customers.
• Engineers here shape the backend foundation that allows non-technical users to leverage AI in workflows.

What You’ll Build

• High-performance services that execute machine learning models at scale
• APIs that expose AI capabilities to workflow automation layers
• Infrastructure to support real-time and batch inference workloads
• Tools for monitoring, debugging, and improving model performance in production

Available for qualified candidates