Position Details
About this role
This role involves developing AI-powered tools for scientific document creation, leveraging large language models and cloud infrastructure to improve research communication.
Key Responsibilities
- Design AI agents for scientific authoring
- Build retrieval-augmented generation systems
- Develop domain-specific fine-tuning strategies
- Create quality checking tools
- Deploy scalable AI services
Technical Overview
The technical environment includes large language models, cloud-native deployment on AWS and Kubernetes, and scientific knowledge representation systems.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with experience in large language models, prompt engineering, and deploying AI tools in scientific research environments. They should have a background in computational sciences or bioinformatics and be familiar with cloud infrastructure.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with large language models, No background in scientific document processing, No experience with cloud deployment (AWS, Kubernetes), No scientific or bioinformatics background
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