About the company
Mission-driven engineering team developing practical AI systems for healthcare, agriculture, education, and international development. This position is listed on behalf of a partner company that manages all applications.
Responsibilities
- Design, build, evaluate, deploy, and improve machine learning systems and AI-powered applications
- Contribute to open-source AI evaluation infrastructure and tools
- Work with behavioral scientists, researchers, and field teams to translate findings into reusable tools and frameworks
- Develop rigorous evaluation methods for AI systems, including datasets and evaluation criteria
- Build and iterate on production-grade LLM applications and agentic systems
- Release technical innovations as open-source contributions
- Document technical decisions and maintain engineering standards
- Monitor applied AI research and test promising approaches
- Advise nonprofit organizations developing generative AI products
- Mentor partner staff and contribute to workshops and knowledge-sharing
Requirements
- Strong foundations in mathematics, deep learning, LLMs, and modern AI systems
- At least 4 years of hands-on ML engineering experience, including an end-user-facing deep learning product
- At least 1–2 years building LLM-powered applications, including a production-grade agent
- Practical experience evaluating AI systems, dataset design, and performance measurement
- Proficiency in Python
- Fluency in prompting and context engineering for agentic systems
- Experience using AI coding agents
- Ability to read research papers and test approaches through experimentation
- Strong first-principles thinking and user-focused approach
- Strong written and verbal communication skills
Conditions
- Fully remote role
- Substantial technical ownership
- Bonus: multilingual NLP or low-resource language experience