Serval is the AI platform for IT teams — replacing legacy systems like ServiceNow with automation that frees people to focus on meaningful work. Founded in early 2024, Serval is already trusted by innovative companies such as Notion, Perplexity, Vercel, Mercor, Langchain, and Verkada to automate more than 50% of their IT tickets.
Serval "automates the automation," using a natural language-to-code workflow builder and AI agents that discover and deliver automations for tedious IT workflows. What started as IT automation has expanded into a horizontal automation engine adopted by HR, Finance, Legal, Security, and Engineering teams.
Our mission is to free IT departments from the #helpdesk channel by creating the simplest way to automate employee onboarding/offboarding, software access management, and the long tail of employee requests. Long term, our vision is to develop a universal workflow automation and enterprise service management platform for all business functions.
We're backed by industry-leading investors, including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and others, and founded by product and engineering leaders from Verkada.
As an Applied AI Engineer at Serval, you’ll help build the intelligence behind our platform - the foundational AI agents that reason, act, and automate complex IT workflows. Your work will apply cutting-edge models and techniques in creative, real-world ways to convert repetitive IT processes into intelligent automation.
What You'll DoDesign, build, and deploy AI-powered features from the ground up.
Develop and optimize Serval’s applied AI systems — from model selection and fine-tuning to inference and evaluation pipelines.
Integrate AI capabilities into production environments, ensuring reliability, scalability, and performance.
Collaborate across engineering and product to bring new customer experiences to life.
Continuously evaluate model performance and improve results based on data and user feedback.
Help establish AI engineering best practices and raise the technical bar across the team.
Experience as a software engineer or machine learning engineer with a focus on applied AI.
Proven experience developing and deploying production-grade AI systems, ideally leveraging large language models or foundation models.
Experience with prompt engineering, fine-tuning, or evaluation techniques for LLMs.
Comfort working with APIs, data pipelines, and cloud environments (AWS, GCP, or similar).
Deep appreciation for delivering high-quality user experiences, not just high-performing models.
Excellent communication skills and ability to thrive in a fast-paced, collaborative startup environment.
Degree in Computer Science or a related technical field.
Experience building AI-native applications or tools that use LLMs in production.
Familiarity with our stack: Go, gRPC, React, TypeScript, Kubernetes, AWS, and Terraform.
Early-stage startup experience or a track record of zero-to-one product development.
Experience with retrieval-augmented generation (RAG), vector databases, or orchestration frameworks.
Impact: Be a key player in shaping the success of our product and company.
Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
Culture: Join a culture that values innovation, ownership, accountability, and fun.
Top Skills
What We Do
Serval is the AI platform for IT teams, combining an AI-native ITSM with integrated workflow automation and access management.
Serval automates help desk requests, just-in-time access, onboarding/offboarding, and more with AI-powered workflows that build themselves.
