10 months ago
San Francisco, CA, USAMid Level
Base Salary
$200k - $325k/yr
Responsibilities
- Design, build, and deploy AI-powered features from the ground up.
- Develop and optimize applied AI systems, including model selection, fine-tuning, inference, and evaluation pipelines.
- Integrate AI capabilities into production environments for reliability, scalability, and performance.
- Collaborate with engineering and product teams to deliver customer experiences.
- Evaluate model performance and improve results using data and user feedback.
- Help establish AI engineering best practices and raise the team’s technical bar.
Requirements
- Experience as a software engineer or machine learning engineer focused on applied AI.
- Proven experience developing and deploying production-grade AI systems, ideally using 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 such as AWS or GCP.
- Degree in Computer Science or a related technical field.
- Strong focus on delivering high-quality user experiences and excellent communication skills.
- Preferred experience building AI-native applications or LLM-powered tools in production.
- Preferred familiarity with retrieval-augmented generation, vector databases, or orchestration frameworks.
- Early-stage startup experience or a track record of zero-to-one product development is preferred.
Benefits
- Opportunity to shape a new AI product and company.
- Support from an experienced team and investors with rapid growth opportunities.
- Culture emphasizing innovation, ownership, accountability, and fun.
Categories
About Serval
Serval builds an AI-native ITSM and automation platform that unifies help desk, access management, and workflow orchestration for enterprises. Its agent-based software turns natural-language requests into end-to-end actions across systems, spanning IT, HR, Finance, Security, Legal, and Engineering; sold as a cloud platform. Founded in 2024 and headquartered in San Francisco, it is privately held and used by organizations such as Fox, Notion, Vercel, Perplexity, and Brex.