Software Engineer DevEx LLM Focus
@ Wave Mobile Money

Hybrid
$178,200
Hybrid
Full Time
Posted 12 hours ago

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Job Details

Our Mission

We're making Africa the first cashless continent. Over half of Sub-Saharan Africa had no bank account in 2017 due to high fees and limited access to banks. Wave is solving this with financial services that are fee-free, immediate, and widely accepted, enabling transactions even in challenging environments.

How You'll Help Us Achieve It

As the first hire focused on applied AI within the Developer Experience team, you will research, prototype, and integrate LLM-powered solutions to improve internal workflows. You will partner with Product and Platform teams to address developer pain points and accelerate company-wide LLM adoption.

  • Participate in DevEx on-duty rotation to identify SDLC pain points.
  • Build AI-driven internal tooling such as code review assistants and automated documentation tools.
  • Collaborate with engineers across the company for broad LLM adoption.
  • Evaluate prompt strategies, fine-tuning and retrieval-augmented generation pipelines.
  • Ensure quality, reliability, scalability, and security of AI-assisted workflows.

Potential Projects

Projects may include prototyping an AI code review assistant, creating embeddings-based code search for improved onboarding, and building an internal knowledge assistant. You will also oversee the internal vibe-coding infrastructure.

Our Tech Stack

  • 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 for candidates based in the designated talent hubs (UK, Spain, USA, Canada, Kenya, Ghana) or operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso. A yearly $1,200 stipend is provided for coworking meetups, and remote team members are expected to travel to an operational market at least once a year.

  • Performance reviews twice yearly with bonuses/promotions.
  • Competitive salaries and generous equity packages.
  • Extensive benefits including subsidized health insurance, paid parental leave, and charitable donation matching.

Requirements

  • 5+ years of professional software engineering experience.
  • Experience with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning).
  • Strong programming skills, with Python preferred.
  • Experience with cloud deployment and monitoring.
  • Fluency in English (French is a bonus).

You Might Be a Good Fit If You

  • Love using AI to boost developer productivity.
  • Can balance rapid prototyping with solid engineering practices.
  • Value maintainability and creating enjoyable developer tools.
  • Have platform engineering, DevOps, or internal tooling experience.
  • Communicate clearly across diverse teams.

About Engineering at Wave

Engineers at Wave solve meaningful problems rather than just shipping tickets. Speed, simplicity, and reliability are key, and every team member contributes to solving challenges and driving continuous improvement.

Our Team & Investment

Wave boasts a diverse in-country team across multiple African nations and remote members globally. With the largest Series A raised in Africa and investments from global leaders such as Founders Fund, Sequoia Heritage, and others, we are positioned for significant impact.

How to Apply

Fill out the application form, upload a resume in English along with a cover letter detailing your interest in Wave and this role.

Key Skills/Competency

LLM, NLP, Developer Productivity, Python, Cloud, AI, Prompt Engineering, Prototyping, Internal Tooling, DevOps

How to Get Hired at Wave Mobile Money

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight LLM and AI engineering experience.
  • Research Wave Mobile Money: Understand their mission and tech stack.
  • Prepare for Technical Interviews: Review Python, cloud deployment, and prompt engineering.
  • Showcase Past Projects: Provide examples of internal tooling achievements.

📝 Interview Preparation Advice

Technical Preparation

Review Python frameworks and cloud deployments.
Study LLM and NLP prompt engineering techniques.
Practice API integrations using GraphQL.
Familiarize with Kubernetes and Terraform basics.

Behavioral Questions

Describe a time you solved complex tooling issues.
Explain your approach to rapid prototyping.
How do you balance speed with quality?
Discuss collaboration in diverse technical teams.

Frequently Asked Questions