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Responsibilities:
- Build and improve production-ready AI systems and LLM-powered applications.
- Develop rigorous evaluation methods and contribute to open-source AI tools.
- Collaborate with behavioral scientists and field teams to translate research into practice.
Requirements:
- Strong foundations in ML, deep learning, and LLMs with 4+ years of hands-on experience.
- Proficiency in Python and experience building production-grade agentic systems.
- Experimental mindset with a focus on practical impact and responsible AI.
Benefits:
- Fully remote, asynchronous-first work environment with flexible schedule.
- Meaningful impact across healthcare, agriculture, and international development.
- Technical ownership, interdisciplinary collaboration, and open-source contributions.
Partner Company
A mission-driven engineering team developing practical AI systems for healthcare, agriculture, education, and international development. The company values autonomy, collaboration, and technical excellence, working as a small, interdisciplinary team.