Position Details
About this role
This role involves leading the development of AI-driven molecular discovery applications using large language models and scientific software tools, with a focus on model-ops and full-stack deployment.
Key Responsibilities
- Own AI strategy for molecular discovery
- Build scientific conversational analytics
- Develop full-stack applications
- Implement model-ops pipelines
- Collaborate with data scientists and chemists
Technical Overview
The technical environment includes AI/ML frameworks like PyTorch and TensorFlow, scientific tools such as RDKit and AlphaFold, and web frameworks including React and Next.js, with deployment on cloud MLOps platforms.
Ideal Candidate
The ideal candidate is an experienced AI engineer with a strong background in large language models, scientific software tools, and full-stack development, capable of translating scientific objectives into scalable AI applications.
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 LLMs or scientific software tools, No experience in full-stack application development, No background in molecular discovery or bioinformatics
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