Position Details
About this role
This role involves developing and deploying AI systems using Large Language Models, with a focus on prompt engineering, evaluation, and ecosystem tooling to support social impact projects.
Key Responsibilities
- Serve as a technical partner to social impact organizations
- Develop evaluation frameworks and agent architectures
- Build ecosystem-level tooling and infrastructure
- Create technical content and tutorials
- Present technical demos and documentation
Technical Overview
The technical environment includes Python programming, Large Language Models like Claude, evaluation frameworks, agent architectures, and deployment at scale.
Ideal Candidate
The ideal candidate is a mid-level AI engineer with 4+ years of experience in building and deploying Large Language Models, especially with prompt engineering and evaluation frameworks. They have a strong technical background in Python and experience working with LLM APIs like Claude, with a passion for building scalable AI solutions for social impact.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 4 years of relevant experience, Lack of experience with LLMs or prompt engineering, No experience with deployment at scale
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