Intern, AI Engineering

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 .

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

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

Efficient LLM Fine-tuning : Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

High-Performance LLM Inference : Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

Conduct original research on LLM agent architectures and optimization techniques

Develop and evaluate novel algorithms with both academic rigor and production feasibility

Present your work at internal research seminars and external conferences

Mentor and collaborate with LLM engineers on implementation and deployment

Experience with self-evolving agent systems

Proficiency in CUDA programming and custom kernel development for LLM operations

Background in reinforcement learning-based LLM fine-tuning

Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

Experience bridging academic research with production systems

Open-source contributions to widely-used ML infrastructure projects