Software Engineer (DevEx-LLM Focus) at Wave Accounting Inc

, , Spain -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

178200.0

Posted On

10 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, LLMs, NLP Systems, Python, Cloud Environments, Developer Productivity, Prototyping, AI Tools, Code Review, Documentation, Test Generation, Prompt Engineering, RAG, Embeddings, Fine-Tuning, DevOps, Internal Tooling

Industry

Software Development

Description

Our mission 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... How you'll help us achieve it Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. We’re looking for an experienced engineer passionate about developer productivity and applied AI. You’ll be responsible for owning and driving the research, prototyping, and integrating LLM-powered tools that improve our internal engineering workflows. This is the first hire in this new area, we are looking for someone who can own the direction of our internal applied AI tooling and ensure it solves the right problems. You’ll be part of the Developer Experience team and work closely with Product and Platform teams to: Participate in the DevEx on-duty rotation, identify pain points in our Software Development Life Cycle and prototype AI-driven solutions. Build internal tooling powered by LLMs (e.g., code review assistants, automated documentation, test generation). Partner with engineers across Wave to accelerate company-wide LLM adoption. Evaluate and refine prompt strategies, fine-tuning, and retrieval-augmented generation (RAG) pipelines. Ensure quality, reliability, future scalability and security of AI-assisted developer workflows. Our to-do list changes constantly, but here are some potential projects: Prototyping an AI code review assistant that flags common issues and suggests fixes. Building embeddings-based code search to improve the onboarding of new engineers and the general understanding of our codebase. Creating an internal developer knowledge assistant to resolve engineering issues faster. Own the internal vibe-coding infrastructure to ensure it’s secure and enables users to easily create new services. Our stack (prior experience is a strong plus, but not required): backend: Python 3 (+ mypy) API layer: GraphQL android frontend: Kotlin/Jetpack iOS frontend: Swift/SwiftUI web frontend: TypeScript/React database: Postgres infrastructure: GCP/Terraform orchestration: Kubernetes Key Details This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, USA, Canada, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso. Wave provides a yearly $1,200 stipend to support coworking meetups with teammates. Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year. Exceptions apply, but we’ve found this key to understanding our users and product. We run performance reviews twice a year and award bonuses or promotions to strong performers who have been with the company for more than six months. Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of $178,200 USD, plus a generous equity package. Major benefits: Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country). 6 months of fully paid parental leave and subsidized fertility assistance. Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays. $10,000 annual charitable donation matching. Requirements 5+ years of professional software engineering experience. Proven hands-on experience building with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning, etc.). Strong programming skills (Python strongly preferred). Experience deploying and monitoring services in cloud environments. Fluency in English (French is a bonus). You might be a good fit if you Get excited about using AI to improve developer productivity and keeping up with new developments. Can balance rapid prototyping with reliable engineering practices. Care deeply about maintainability, developer experience, and making tools a joy to use. Have experience in platform engineering, DevOps, or internal developer tooling. Communicate clearly with colleagues from diverse backgrounds. Are excited to deeply understand the inner workings of the tools you use. About engineering at Wave 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. #LI-DH1 #LI-REMOTE Our team We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon plus remote team members spread across the world. We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most. We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production. We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa. We are on Y Combinator's top companies by revenue. How to apply 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.

Responsibilities

You will own and drive the research, prototyping, and integrating LLM-powered tools that improve internal engineering workflows. You will participate in identifying pain points in the Software Development Life Cycle and prototype AI-driven solutions.