Job Overview
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Job Description
About Workato
Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps 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.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
Why join us?
Ultimately, Workato believes 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.
But, 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.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, Feel Free To Check Out Why
- Business Insider named us an “enterprise startup to bet your career on”
- Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
- Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
- Quartz ranked us the #1 best company for remote workers
Responsibilities of a Senior AI Applications Engineer Full Stack
We are seeking a Senior AI Applications Engineer Full Stack to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.
This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.
- Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.
- Build scalable, production-grade backend services and REST APIs using Python.
- Develop clean, performant, and reusable React.js components for modern web interfaces.
- Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.
- Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.
- Lead architecture discussions and set engineering best practices across the stack.
- Optimize application performance, scalability, and reliability across backend and frontend systems.
- Mentor junior developers and contribute to a culture of engineering excellence.
Requirements
Qualifications / Experience / Technical Skills
- Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.
- 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.
- Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.
- Proven experience developing production-ready frontend applications using React.js (or similar frameworks).
- Deep knowledge of REST API design and integration patterns.
- Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.
- Familiarity with integrating AI/ML models into applications (directly or via APIs).
- Strong understanding of software architecture, scalability, security, and system design.
- Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
Soft Skills / Personal Characteristics
- Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.
- Strong sense of ownership, accountability, and leadership.
- Passion for AI and delivering impactful, data-driven software solutions.
- Comfortable working in a fast-paced, collaborative, and iterative environment.
- Willingness to mentor others and help raise the overall bar for engineering quality.
Key skills/competency
- Full Stack Development
- AI Applications
- Python
- React.js
- REST API Design
- PostgreSQL
- ClickHouse
- AI/ML Model Integration
- Software Architecture
- Scalability
How to Get Hired at Workato
- Research Workato's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight Python, React.js, AI/ML integration, and full-stack experience relevant to Workato's orchestration platform.
- Showcase AI/ML projects: Prepare to discuss past projects demonstrating your expertise in building production-ready AI applications and scalable systems.
- Prepare for technical depth: Be ready for in-depth questions on Python backend development, React frontend, REST API design, and database technologies like PostgreSQL/ClickHouse.
- Emphasize collaboration and leadership: Highlight experiences where you led architectural discussions, mentored peers, and contributed to engineering excellence in a fast-paced environment.
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