Applied AI Scientist - LLMs & Voice
Wave Mobile Money is a financial technology company providing affordable mobile money services across Africa. Its offerings include money transfers, deposits and withdrawals, bill payments, airtime purchases, merchant payments, collections, bulk payments, and checkout APIs.
Funding
Projects
About Wave Mobile Money Inc.
Wave Mobile Money builds and operates a mobile financial network intended to help make Africa the first cashless continent. Its consumer services enable users to deposit and withdraw money, send funds, pay bills, buy airtime, and access customer support through mobile applications and agents. Wave Business provides bulk payments, in-person merchant payments, cash collection tools, a business portal, and checkout APIs. The company serves consumers, agents, merchants, businesses, and other clients across multiple African countries.
Skills
About the Role
You'll bridge research and production by building AI models and agent systems that ship directly into real products. You'll architect and ship autonomous voice and digital agents that power over 10 million customer interactions per month across West Africa. You'll tackle the hardest edge cases, including poor connectivity, low literacy, and languages with little training data. You'll experiment with, evaluate, and integrate the latest voice and text models. You'll own problems end-to-end, from problem discovery through running in production, working alongside product and engineering leaders who prioritize shipping real customer impact.
Requirements
- 5+ years of experience in AI/ML
- Proven hands-on experience building with LLMs or AI systems (prompt engineering, RAG, embeddings, fine-tuning, safety and guardrails etc.)
- Strong foundations in statistics and ML theory
- Solid Python and backend engineering skills
- Track record taking AI/ML systems from prototype to production with a focus on reliability, performance, and scalability
- Fluency with AI coding agents, with bonus points for deploying them as part of production systems
Responsibilities
- Bridge research and production by building AI models and agent systems that ship into real products
- Architect and ship autonomous voice and digital agents that power 10M+ customer interactions per month across West Africa
- Build for the hardest edge cases including poor connectivity, low literacy, and languages with little training data
- Experiment with, evaluate, and integrate the latest voice and text models
- Own problems end-to-end from problem discovery to running in production
Benefits
- Subsidized health insurance for you and your dependents
- Retirement contributions
- 6 months of fully paid parental leave
- Subsidized fertility assistance
- Flexible vacation
- $10,000 annual charitable donation matching
- Yearly $1,200 stipend for coworking meetups with teammates
- Equity package