AI Technical Lead
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GRIT - Gender Rights in Tech
Remote (global)- Career category: Information Technology (IT)
- Job type: Job
- Organisation type: Civil Society
- Remote option: Remote (global)
- Right to work requirements: Not specified
- Remuneration: Remuneration not disclosed
- Work schedule: Full-time
- Length of contract: Permanent
- Deadline: 26/06/2026
- Location: Remote (global)
About GRIT and this role
GRIT is a feminist technology organisation that builds community-co-created Al to advance gender rights, safety and justice. We are building a dedicated, women-of-colour-led feminist-tech team. The Al Technical Lead is the senior technical role at the centre of that move — owning what we build, how we build it, and how we measure whether it actually helps. The vision is to grow this technical team into both a pipeline for young African women in Al and a sustainable income stream for GRIT. This is a feminist-tech role. In addition to investment in the technology, we are looking for excitement about the team, data practice, and metrics tracking how we support those we serve. We are excited to hire a technical leader who embodies GRIT’s feminist, Afrocentric and co-creation values.
Purpose
To lead the technical build, deployment and continuous improvement of GRIT’s feminist Al products - primarily (1) scaling Zuzi, our multilingual WhatsApp companion (RAG across 11+ South African languages plus Shona), towards 50,000 monthly interactions and beyond and (2) building inFORMed, GRIT’s new Gen-Al tool that completes protection-order forms, from the ground up. This looks like embedding feminist and Afrocentric principles into both the design and the measurement of impact, grounding everything in community co-creation, keeping GRIT at the frontier of Al, and growing a team and a fellowship-and-services model that serves young African women and generates income for the organisation.
Person Specification
GRIT is a feminist technology organisation that builds community-co-created Al to advance gender rights, safety and justice. We are building a dedicated, women-of-colour-led feminist-tech team. The Al Technical Lead is the senior technical role at the centre of that move — owning what we build, how we build it, and how we measure whether it actually helps. The vision is to grow this technical team into both a pipeline for young African women in Al and a sustainable income stream for GRIT. This is a feminist-tech role. In addition to investment in the technology, we are looking for excitement about the team, data practice, and metrics tracking how we support those we serve. We are excited to hire a technical leader who embodies GRIT’s feminist, Afrocentric and co-creation values.
Purpose
To lead the technical build, deployment and continuous improvement of GRIT’s feminist Al products - primarily (1) scaling Zuzi, our multilingual WhatsApp companion (RAG across 11+ South African languages plus Shona), towards 50,000 monthly interactions and beyond and (2) building inFORMed, GRIT’s new Gen-Al tool that completes protection-order forms, from the ground up. This looks like embedding feminist and Afrocentric principles into both the design and the measurement of impact, grounding everything in community co-creation, keeping GRIT at the frontier of Al, and growing a team and a fellowship-and-services model that serves young African women and generates income for the organisation.
Person Specification
- Senior, hands-on experience building and deploying production LLM / Al systems (RAG, prompt engineering, evaluation, deployment).
- A genuine self-starter who stays at the frontier of Al without external direction.
- Deep, demonstrated commitment to feminist, survivor-centred and community-co-created technology.
- Enthusiasm for and ideally experience with Afrocentric / contextualised approaches to Al design and impact measurement.
- Track record of leading technical delivery and mentoring more junior engineers and fellows.
- 5-10+ years software engineering (ideal: strong Python and distributed systems experience)
- 2-4+ years ML/AI
- Shipping production systems
- Experience owning architecture
- PhD or published papers in theoretical ML
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