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Posted 9 hours ago
Applied AI Engineer
ServalApplied AI Engineer
Requirements
Software or ML engineering experience, Production-grade AI system deployment, LLM fine-tuning and prompt engineering, Cloud environment proficiency, Computer Science degree
Skills
LLMPythonAWS
About the role
About the Company
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end, backed by leading investors including Sequoia Capital and Redpoint Ventures.
Responsibilities
- Design, build, and deploy AI-powered features from the ground up
- Develop and optimize applied AI systems, including model selection, fine-tuning, and evaluation pipelines
- Integrate AI capabilities into production environments ensuring reliability and scalability
- Collaborate across engineering and product teams to deliver new customer experiences
- Continuously evaluate model performance and improve results based on data and user feedback
- Establish AI engineering best practices
Requirements
- Experience as a software engineer or machine learning engineer focused on applied AI
- Proven experience developing and deploying production-grade AI systems using LLMs or foundation models
- Experience with prompt engineering, fine-tuning, or evaluation techniques for LLMs
- Proficiency with APIs, data pipelines, and cloud environments (AWS, GCP, or similar)
- Degree in Computer Science or a related technical field
- Strong communication skills and ability to thrive in a fast-paced startup environment
Preferred Qualifications
- Experience building AI-native applications using LLMs in production
- Familiarity with Go, gRPC, React, TypeScript, Kubernetes, AWS, and Terraform
- Early-stage startup experience or zero-to-one product development track record
- Experience with RAG, vector databases, or orchestration frameworks
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Serval · San Francisco
