About the job
About Us
Serval is an innovative AI-powered automation platform revolutionizing enterprise operations. Our intelligent agents adeptly comprehend and execute real-world workflows end-to-end, effectively replacing outdated manual processes and rigid systems with dynamic, learning software. Established in early 2024, Serval is already a trusted partner for industry leaders including General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating complex operational tasks to boost efficiency.
At the heart of Serval lies an advanced agentic AI platform that transforms natural language into production-ready workflows. Our agents not only respond but also reason and take action across various systems, continually enhancing their capabilities through real-time usage. What started as a focus on operational tasks has swiftly expanded into a comprehensive AI automation solution applicable across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eradicate repetitive manual tasks within enterprises, empowering teams with intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that integrates seamlessly across business functions, ensuring modern companies run smoothly.
Role Summary
As an Applied AI Engineer at Serval, you will be instrumental in developing the intelligent backbone of our platform—creating foundational AI agents that reason, act, and automate intricate IT workflows. Your role will leverage cutting-edge models and techniques to transform monotonous IT processes into sophisticated automation solutions.
Your Responsibilities
- Design, develop, and implement AI-driven features from inception to deployment.
- Enhance and optimize Serval’s applied AI systems, including model selection, fine-tuning, and evaluation pipelines.
- Integrate AI capabilities into production settings, ensuring they are reliable, scalable, and high-performing.
- Collaborate with engineering and product teams to create innovative customer experiences.
- Regularly assess model performance and iterate on improvements based on data and user feedback.
- Establish industry-leading AI engineering practices and elevate the technical standards across the team.

