AI Engineer

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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Flutterwave</span> was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) make and receive payments in a convenient borderless manner.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">The Role: </span>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.<br><br>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.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Responsibilities include but are not limited to:</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">1. Productionize AI for Payment Incident Investigation</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Design and deploy a locally hosted LLM-powered agent for autonomous payment failure analysis.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build internal LLM infrastructure with no external API dependency for core workflows.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Develop structured pipelines for root cause identification across transaction failures.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Automate Level 1 incident investigations.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Generate standardized root cause analysis (RCA) reports.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Optimize model performance to reduce Mean Time to Resolution (MTTR).</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">2. Build Reusable Internal AI Infrastructure</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Develop scalable training and inference pipelines.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Create reusable model components adopted across multiple use cases.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Reduce time-to-deploy new AI applications.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Decrease reliance on external AI APIs through internal model development.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Implement monitoring systems for latency, drift, and model performance.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">3. Expand AI into Operational Workflows</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Deploy at least two additional AI use cases (e.g., chatbot, automated reporting, issue clustering).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure ≥99.9% production uptime.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Maintain inference latency within defined thresholds.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Establish retraining cadence and continuous performance evaluation.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Deliver measurable efficiency improvements in operational workflows.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">4. Ensure AI Reliability &amp; Governance</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Implement version-controlled datasets and model versioning.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define evaluation benchmarks (precision, recall, accuracy thresholds).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Implement automated drift detection.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Document model architecture and training processes.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure zero preventable production-critical failures due to model design.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">5. E<span style=\"color: rgb(34, 34, 34)\">nsure 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.</span></span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Required competency and skillset to be a waver</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">4–7+ years in Machine Learning / AI Engineering.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong Python proficiency (PyTorch, TensorFlow, Hugging Face).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working with LLMs (fine-tuning, RAG, embeddings, retrieval systems).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience deploying ML systems in production (Docker, Kubernetes, CI/CD).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience building inference pipelines and monitoring systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong understanding of evaluation metrics and ML governance practices.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working with large-scale structured and unstructured datasets.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong preference for previous fintech or payments experience</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"color: rgb(34, 34, 34)\">Click here for the </span><a href=\"https://flutterwave.docsend.com/view/aj59p2gfa6wnq23f\" target=\"_blank\" rel=\"noopener noreferrer\">Recruitment Privacy Notice </a><span style=\"color: rgb(34, 34, 34)\">and </span><a href=\"https://flutterwave.com/privacy-policy\" target=\"_blank\" rel=\"noopener noreferrer\">Flutterwave Privacy Policy</a></span></p>",
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