AI Engineer Job Flutterwave

IT Jobs. Flutterwave Jobs.

The Role:

Flutterwave is looking for an AI Engineer to design and deploy production-grade AI systems embedded directly into our payments infrastructure. Your primary mandate is to build and productionize a locally hosted AI system capable of autonomous payment failure investigation – reducing manual operational load and improving payment reliability.

This role requires deep hands-on engineering capability. You will own model design, training, deployment, monitoring, and continuous improvement in a high-availability fintech environment.

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Responsibilities include but are not limited to:

Productionize AI for Payment Incident Investigation

• Design and deploy a locally hosted LLM-powered agent for autonomous payment failure analysis.
• Build internal LLM infrastructure with no external API dependency for core workflows.
• Develop structured pipelines for root cause identification across transaction failures.
• Automate Level 1 incident investigations.
• Generate standardized root cause analysis (RCA) reports.
• Optimize model performance to reduce Mean Time to Resolution (MTTR).

Ensure AI Reliability & Governance

• Implement version-controlled datasets and model versioning.
• Define evaluation benchmarks (precision, recall, accuracy thresholds).
• Implement automated drift detection.
• Document model architecture and training processes.
• Ensure zero preventable production-critical failures due to model design.
• Ensure personal information of customers, employees, and other individuals the company conducts business with is processed and protected in line with applicable data privacy policies, privacy laws, and global best practices.

Required competency and skillset to be a waver

• 4–7+ years in Machine Learning / AI Engineering.
• Strong Python proficiency (PyTorch, TensorFlow, Hugging Face).
• Experience working with LLMs (fine-tuning, RAG, embeddings, retrieval systems).
• Experience deploying ML systems in production (Docker, Kubernetes, CI/CD).
• Experience building inference pipelines and monitoring systems.
• Strong understanding of evaluation metrics and ML governance practices.
• Experience working with large-scale structured and unstructured datasets.
• Strong preference for previous fintech or payments experience

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How to Apply

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