Applied AI Engineer
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Job Description
Applied AI Engineer at Wave, architecting voice and digital agents for financial services. Involved in end-to-end system development to enhance customer interactions across West Africa.
Responsibilities:
- architect and ship autonomous voice and digital agents that power 10M+ customer interactions per month across West Africa.
- own end-to-end agent systems from core models through multi-channel orchestration, architecting solutions that work reliably where connectivity is poor, literacy can be low, and most languages lack training data.
- drive real ownership, from problem discovery to running in production, working alongside product and engineering leaders who prioritize shipping real customer impact.
- shape that future by solving genuinely hard technical problems where systems either work or they fail.
Requirements:
- 5 years of ML experience
- Strong proficiency in Python and common ML libraries
- Solid theoretical foundation in stats and ML.
- Experience working with voice agents
- Proven hands-on experience building with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning, etc.).
- Experience taking ML models from prototype to production and care deeply about reliability, performance, and scalability.
- Fluent in English, (bilingual in French is a big bonus!).
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.
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