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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.
Job Responsibility:
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
Requirements:
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