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Backend Software Architect

3 weeks ago


Hyderabad City Taluka, Pakistan Workato Full time

About Workato

We transform technology complexity into business opportunity. As the leader in enterprise orchestration, our AI-powered platform helps businesses globally streamline operations by connecting data, processes, applications, and experiences.

Trusted by a community of 400,000 global customers, we empower organizations of every size to unlock new value and lead in today's fast-changing world.

We believe 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.

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.

We've been recognized by leading publications, including Business Insider, Forbes, Deloitte Tech Fast 500, and Quartz.

Job Description
  • We are looking for an exceptional Senior Backend Software Developer to join our growing team.
  • Your primary focus will be on developing and maintaining systems powering sophisticated AI agents and generative AI applications.

Responsibilities:

  1. Design and implement scalable backend systems that integrate effectively with AI services and components.

  2. Develop robust APIs and middleware connecting SAAS platforms with AI capabilities.

  3. Create and optimize data pipelines for efficiently collecting, transforming, and feeding information to AI models.

  4. Monitor and improve system performance with specific focus on AI service integration points and response times.

  5. Make architecture decisions for AI integration projects, including technology selection and build vs. buy evaluations.

  6. Collaborate with data scientists and ML engineers to understand model requirements and implementation needs.

  7. Lead AI-related technical initiatives including mentoring junior engineers on AI integration patterns.

  8. Implement comprehensive testing and monitoring strategies for AI-integrated systems to ensure reliability.

  9. Ensure security and compliance in AI implementations, particularly regarding data handling and privacy regulations.

  10. Communicate technical concepts to stakeholders and translate business requirements into effective AI solutions.