Senior Applied AI Engineer (Value Engineering) - Life Sciences
Tasks
- Build AI solutions
- Develop autonomous AI “Agents”
- Ensure project success
- Execute proof of value projects
- Prototype AI models
- Specialize by domain
- Support AI deployment
- Translate business needs into AI use cases
- Understand customer AI strategy
Perks/Benefits
- 401k
- Company equity
- Dental benefits
- Health benefits
- Hybrid work
- Inclusion programs
- Learning programs
- Life insurance
- Mentorship
- Paid time off
- Well-being resources
Skills/Tech-stack
AI Solution | AI solution design | Agent Orchestration | Data Engineering | Generative AI | Langchain | Language Models | Large Language Models | Machine Learning | Model Deployment | Multi-Agent | Multi-agent orchestration | Pandas | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | Solution design
Education
Roles
Regions
Countries
States
Cities
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