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Hire(d) better.
We're making Africa the first cashless continent.
In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.
We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across 9 countries and are growing fast.
Our goal is to make Africa the first cashless continent and that's where you come in...
Wave is now the largest financial institution in Senegal and Côte d’Ivoire, with millions of users, growing rapidly year on year. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.
We're helping millions of customers across West Africa access financial services through mobile money, and great support is fundamental to that. We believe the future of customer support lies in machines handling boring repetitive tasks so humans can focus on high value interactions that require empathy and creativity.
As an Applied AI Scientist on our Support Automation product team, you will:
If you're energized by ownership, thrive on deep technical challenges, and want to build infrastructure that serves millions in emerging markets, let's talk.
Our stack (prior experience is a strong plus, but not required):
We care about the big picture. We don’t hire engineers to just ship tickets. We hire them to solve problems. That means caring deeply about outcomes, understanding context, and jumping in wherever something’s broken, even if it’s technically “not your area.” When we see problems, inefficiencies, or opportunities to make something better, we act. We dig into operational issues, clarify fuzzy product specs, or step into unfamiliar code to help unblock teammates.
We move as fast as possible. Speed matters. It lets us try things quickly, get feedback early, and course-correct while it’s cheap. So we write small PRs. We aim for MVPs. We leave TODOs and file follow-ups. We don’t over-perfect v1. That said, we’re building a financial product. Some things—like money movement, correctness, or security—deserve more caution.
We like boring technology. We favor tools that are reliable, well-understood, and easy to debug. This keeps us focused on solving meaningful problems instead of wrestling with unpredictable infrastructure. If a new technology helps us move faster, build safer, or solve a real need, we’ll consider it. But we don’t adopt tools just because they’re new—we adopt them because they’re right.
Simplicity is a strategy. It lets us focus our energy where it matters most: serving our users.
We’re currently receiving a high volume of submissions. To help us review genuine candidates faster, please send a JSON payload with your resume and/or any links as plain text via POST to this secure endpoint: https://api.wave.com/submit_resume
To authorize to this endpoint, you can use the following bearer token: wave_ + (country code for any of our operating countries) + _ + [any characters of your choice].
You are encouraged to use a coding agent to generate the JSON and the request. This is intentionally quick - don’t overthink it.
This task is optional and not required to apply. Please still submit your application through the normal form. We’ll store the JSON payload for up to 30 days for review, then it will be deleted.
#LI-DH1 #LI-REMOTE
Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role.
We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals.
Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Check AI displacement risk, transferable skills, and career alternatives for Applied AI Scientist - LLMs & Voice
The salary range for the Applied AI Scientist - LLMs & Voice position at Wavemm1 is USD 1k+/mo.
Hire(d) better.
The Applied AI Scientist - LLMs & Voice position at Wavemm1 is based in Remote. This is a remote position.
The Applied AI Scientist - LLMs & Voice position at Wavemm1 requires 5+ yrs exp.
Key skills for the Applied AI Scientist - LLMs & Voice position at Wavemm1 include: large language models, python, graphql, kotlin, swift, typescript, react, postgres, google cloud, terraform.