Senior Software Engineer

Role

Senior Software Engineer on the AI Apps & Marketplace Engineering team, responsible for designing and building enterprise-grade AI Apps and Packaged Genies using Workato’s AI Apps Framework and Agent Studio. The role focuses on creating robust, scalable Skills that enable multi-system orchestration and intelligent automation across enterprise domains.

Key Responsibilities

• Design and develop enterprise-ready AI Apps and Packaged Genies to enable intelligent automation across business processes.
• Architect advanced Skills that perform complex, multi-system actions (knowledge retrieval, approvals, notifications, end-to-end orchestration).
• Translate business and technical requirements into scalable architectures, Skill specifications, and orchestration patterns.
• Define and enforce engineering best practices, coding standards, and CI/CD pipelines; conduct design and code reviews.
• Build modular, maintainable, and performance-optimized logic suitable for enterprise deployments.
• Troubleshoot complex multi-system integrations and optimize execution paths for reliability and resiliency.
• Create and maintain documentation for architectural decisions, prompt engineering strategies, and integration approaches.
• Identify expansion opportunities across functional domains and influence roadmap priorities.
• Mentor and guide engineers, fostering quality, reusability, and innovation as the team scales.

Requirements

• 7+ years of experience in software engineering, application development, or product development.
• Strong hands-on proficiency in at least one language such as Ruby, Python, or Java; willingness to learn new languages as needed.
• Experience architecting and delivering production-grade solutions and strong mastery of programming fundamentals (data structures, algorithms, design patterns).
• Hands-on experience with integrations, API design, and authentication flows (REST, OAuth, tokens) across enterprise systems (CRM, HRMS, ITSM, IAM, ERP).
• Experience with workflow automation, orchestration, low-code platforms, or AI/ML-powered systems (or ability to learn quickly).
• Familiarity with prompt engineering concepts and working with LLM-based systems is a strong plus.
• Strong debugging, performance optimization, and system-level troubleshooting skills across distributed environments.
• Excellent communication and cross-functional partnership skills; demonstrated ownership mindset and ability to drive projects independently.
• Genuine interest in AI agents, agentic workflows, and intelligent automation ecosystems.

Preferred Attributes

• Experience defining reusable component design and platform-based engineering.
• Prior experience contributing to CI/CD pipelines, coding standards, and platform-aligned architectures.