AI Engineer
Summary
Build open-source AI tools and reference codebases for NGOs, integrating data and advising on generative AI products while mentoring partners.
About The Agency Fund
The Agency Fund is a US non-profit funder-doer that builds projects to expand human agency. Our small, global team combines expertise in software, AI, social psychology, and development economics, and our community of 200+ organizations reaches millions annually.
We have built and commercialized tech platforms that optimize NGO operations and strengthen their ability to learn and adapt through experimentation, automation, and better data use.
The Role
We're looking for an AI Engineer to join our team. You'll design, build, and deploy AI/ML systems that power Agency Fund's platforms and partner applications — from large language model integrations and recommendation engines to data pipelines and evaluation frameworks. Your work will directly improve outcomes for millions of people served by our NGO partners.
What You'll Do
Design and build AI/ML features for Agency Fund's tech platforms (LLMs, NLP, recommendation systems, etc.)
Develop robust data pipelines and evaluation frameworks for model training and inference
Work closely with behavioral scientists and researchers to translate insights into AI-powered features
Architect and maintain production ML systems with an emphasis on reliability and scalability
Conduct rapid prototyping and experimentation to validate AI approaches before full buildout
Document technical decisions and maintain engineering standards across AI components
Stay current with applied AI research and bring relevant advances to the team
Who You Are
You might be a great fit if you:
Have 3–7 years of software engineering experience with at least 2 years focused on AI/ML systems
Are proficient in Python and have hands-on experience with ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.)
Have built and deployed LLM-powered applications or retrieval-augmented generation (RAG) systems
Understand ML fundamentals: model training, evaluation, fine-tuning, and inference optimization
Are comfortable with cloud infrastructure (AWS, GCP, or Azure) and have deployed models in production
Communicate technical concepts clearly to non-engineering audiences
Care deeply about building AI responsibly and with direct social benefit
Bonus points if you have:
Experience with multilingual NLP or working with low-resource languages
Familiarity with behavioral science or designing AI for behavior change
Prior work in global health, international development, or social impact technology
Experience with data annotation pipelines and evaluation methodology for LLMs
Background in AI safety, alignment, or responsible AI frameworks
Why Join Us
Work with a kind, talented, and mission-driven team
Collaborate with bold thinkers across social impact, data, and product innovation
Shape projects that directly expand human agency
Fully remote and flexible working environment
Competitive compensation commensurate with experience
Location
Remote (global)
Flexible time zone