Applications Engineer, GenAI Apps


New York City, NY, US
  • Job Type: Full-Time
  • Function: Engineering Software
  • Industry: Data Infrastructure
  • Post Date: 06/07/2024
  • Website:
  • Company Address: 215 Castro St, Suite 300, Mountain View, California 94041, US
  • Salary Range: $50,000 - $150,000

About Workato

Workato® makes the creation and implementation of automations 10X faster than traditional platforms. As the leader in AI-powered enterprise automation, we enable enterprises to automate their business processes across the organization by integrating their applications, data, and experiences.

Job Description

About Workato

Workato is the only integration and automation platform that is as simple as it is powerful — and because it’s built to power the largest enterprises, it is quite powerful. 

Simultaneously, it’s a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We’re proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning. 

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


As an Applications Engineer for Growth Products at Workato, you will play a pivotal role in architecting and developing cutting-edge solutions that leverage artificial intelligence to drive automation and innovation. Your extensive experience in software engineering, coupled with your passion for AI technologies, will drive the evolution of our GenAI Apps - built on Workato’s core Enterprise Orchestration platform.

  • Gain comprehensive expertise in Workato and build solutions that democratize AI, making it easily accessible and usable by both technical experts and business users.

  • Create lightweight, world-class apps in key functional areas to contribute to our GenAI app marketplace.

  • Contribute to cross-functional projects with product management, design, and other engineering teams.

  • Apply quality assurance practices, including automated testing, code reviews, and active participation in debugging and troubleshooting.

  • Collaborate closely with go-to-market teams, providing essential support during product launches.


Qualifications / Experience / Technical Skills

  • Proven experience in building GenAI-based bots/agents, with a portfolio or examples of past projects.

  • Hands-on experience with prompt engineering for leading Large Language Models (LLMs) such as OpenAI's GPT, Claude by Anthropic, Gemini by Google, and the ability to rapidly prototype, iterate, and optimize GenAI applications will be considered a significant plus. 

  • Excellent communication skills and the ability to work effectively in interdisciplinary teams, collaborating with designers, product managers, and other engineers.

  • 3-6 years of experience as a Software Engineer, Architect, or similar.

  • Strong proficiency in agile methodologies, embodying principles of adaptive planning, evolutionary development, early delivery, and continuous improvement.

  • Expertise in scripting and coding with a strong foundation in GenAI concepts; proficient in languages such as Ruby, Python, or Java.

  • Excellent problem-solving skills, with a demonstrated ability to work effectively in team settings and communicate complex ideas clearly.

  • Bachelor’s or Master’s degree in Computer Science (MBA preferred).

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