AI Data 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 (TAF) is a US non-profit funder-doer that builds projects to expand human agency at scale. We embed engineers and product managers directly inside evidence-based nonprofits across East Africa, South Asia, and beyond — helping them build data infrastructure, run experiments, and scale impact through automation and product thinking. Our small, global team combines expertise in software, AI, social psychology, and development economics, and our community of 200+ partner organizations reaches millions of people annually.
We're an entrepreneurial team that operates with minimal hierarchy — everyone contributes to a shared mission in unique ways.
The Role
We're looking for an AI Data Engineer to join our team. You'll design, build, and deploy AI/ML data 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 evaluations and features for Agency Fund's tech platforms and partners (LLMs, NLP, recommendation systems, etc.)
Develop robust data pipelines and evaluation frameworks for model training and inference and post-deployment efficacy
Work closely with behavioral scientists and researchers to translate insights into AI-powered features
Architect and maintain production ML systems with an emphasis on observability, performance, 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 AI/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
Skills
As published by ashby · 6 questions · 2 written answers
Basics
First Name, Email, Resume
Short answers (4)
- Last Name
- Where are you currently based?
- How did you hear about this opportunity?
Written answers (2)
- Why are you interested in working at the Agency Fund, and what about this role interests you?
- In 2-3 sentences, tell us about an AI or ML project you've worked on and your role in it.