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This listing was closed on Jul 17, 2026.
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Summary by AIEngineer.careers
AI Engineer is a AI Engineer role (full-time). with Collate. in SAN FRANCISCO, US. Compensation shown: $150K–$350K. Imported listing (source: jooble.org). Apply on the employer's site (jooble.org).
Imported listing (source: jooble.org) · Apply on jooble.org
SAN FRANCISCO · US
$150K–$350K
Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jooble.org
Collate, an AI document generation platform for life sciences, is seeking an AI Engineer to build and productionize models and systems. The role involves prompt optimization, red-teaming, and improving LLMs for NLP applications, deploying AI systems at scale, and developing evaluation frameworks. The ideal candidate has hands-on experience deploying ML/AI systems in production, a strong foundation in search and retrieval, and comfort in an early-stage startup.
Responsibilities
- Prompt optimization, red-teaming, and improving robustness of LLMs for life-science NLP applications within Collate’s products
- Build pipelines and infrastructure to deploy AI systems reliably, safely, and at scale
- Collaborate with product, design, and engineering teams to translate user needs into AI-driven features
- Develop evaluation frameworks to ensure models are accurate, fair, and trustworthy in real-world life science settings
- Experiment rapidly, while balancing iteration speed with the rigor required for high-stakes applications
- Create tools and workflows that make AI development more efficient across the team
Requirements
- Hands-on experience building and deploying ML/AI systems in production
- Strong foundation in deploying search and retrieval systems and NLP applications
C
Collate
Saratoga · US · 57+ employees
Collate is an AI platform provider for data management that connects metadata, context, and meaning to help teams govern and trust data. It uses AI agents to automate data documentation, classification, and governance workflows.
