United States of America Remote (Global)

Wave is hiring an Applied AI Scientist - LLMs & Voice

About the Role

Shape the future of AI-driven support in emerging markets. As an Applied AI Scientist focused on LLMs and Voice, you'll play a central role in developing autonomous agents that serve millions of users each month. Your work will directly address complex, real-world constraints—such as intermittent internet access, low literacy rates, and languages with limited digital resources—by building robust, production-grade AI systems.

What You’ll Do

  • Design, test, and deploy AI models and agent architectures that power voice and digital support experiences at scale.
  • Optimize systems for challenging environments, ensuring performance even under poor connectivity or with minimal training data.
  • Integrate and evaluate cutting-edge models in speech and language, translating research advances into reliable product improvements.
  • Own problems from initial discovery through to deployment, collaborating closely with engineering and product teams to deliver measurable customer impact.
  • Operationalize LLM techniques including prompt engineering, retrieval-augmented generation, fine-tuning, and agent orchestration.

What We’re Looking For

  • 5+ years of hands-on experience in machine learning or AI engineering.
  • Strong programming skills in Python and experience with backend systems.
  • Firm understanding of statistical modeling and ML fundamentals.
  • Proven track record of moving models from prototype to production, with attention to performance, scalability, and correctness.
  • Experience building with large language models and autonomous agents.
  • Comfort working in low-resource language environments and optimizing real-time voice systems (ASR/TTS, streaming, latency).
  • Fluency in English; bilingual French speakers are strongly encouraged to apply.

Technology & Environment

Our stack includes Python 3 (with mypy), GraphQL, Kotlin/Jetpack, Swift/SwiftUI, TypeScript/React, Postgres, CockroachDB, GCP, Terraform, and Kubernetes. We value simplicity, maintainability, and fast iteration—preferring reliable tools that scale safely over novelty.

Work & Culture

This is a fully remote role open to candidates in the US, Canada, UK, Spain, Kenya, Ghana, Senegal, Côte d'Ivoire, and Burkina Faso. Team members are expected to visit operational markets at least once per year. We prioritize solving meaningful problems, moving quickly with small iterations, and shipping solutions that improve real user outcomes. If you’re driven by impact, thrive in ambiguity, and care about building systems that work where they’re needed most, this role is for you.

Required Skills
PythonLLMsprompt engineeringRAGfine-tuningML engineeringbackend engineeringstatisticsmachine learning theorymodel deploymentPostgresGCPTerraformKubernetesGraphQL PythonLLMsMachine LearningPrompt EngineeringRAGFine-tuningPostgresGCPKubernetesTerraformGraphQLTypeScriptReactStatisticsBackend Engineering
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About company
Wave

We’re on a mission to make Africa the first cashless continent. On a continent where over half the population has no bank account, Wave is building the first modern financial network — no account fees, instantly available, and accepted everywhere!

We’re building life-changing financial infrastructure. When mobile money succeeded in Kenya, it lifted about a million people out of poverty. And yet, over 10 years later, most Africans still lack access to affordable ways to save, transfer or borrow the money they need to build businesses or provide for their families. Wave is solving this problem by using technology to build a radically inclusive and extremely affordable financial network.

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Posted 23 days ago