Workato
Intern, AI Engineering
San Francisco, California · Intern · Internship
Sponsorship not specifiedDetected 1 day ago
PythonSpringAlgorithmsMachine LearningPyTorchNLPLLMsAgentic AILLMOpsResearchCollaboration
About the role
- A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale.
- With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.
- To learn more, visit www.workato.com Why join us?
Responsibilities
- LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks
- High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies
- Develop and evaluate novel algorithms with both academic rigor and production feasibility
- Mentor and collaborate with LLM engineers on implementation and deployment
Requirements
- Ability to work in-person at our San Francisco office
Nice to have
- Experience with self-evolving agent systems
- Proficiency in CUDA programming and custom kernel development for LLM operations
- 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
Skills
- About Workato
- To learn more, visit www.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.
- If this sounds right up your alley, please submit an application.
- 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
Benefits
- Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models
- Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields
Company info
- We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco.
- You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
- We are now filling intern positions for Winter 2026 and Spring 2027.
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This listing is sourced directly from Workato's careers page and normalized into a canonical job model.