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.
Your responsibilities will include:
Design, 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.
To succeed in this role, you'll need:
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.
Nice to have:
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.
What We Offer:
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.