AI/ML Engineer, Python

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November 13

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Moniepoint Inc. (Formerly TeamApt Inc.)

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Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

1001 - 5000 employees

💳 Fintech

🏦 Banking

📋 Description

• Design, develop, and deploy AI-driven applications using Python and modern frameworks. • Craft, refine, and test prompts and multi-step prompt chains for optimal LLM performance across various business contexts. • Integrate and orchestrate LLM APIs (OpenAI, Anthropic, Gemini, HuggingFace, etc.) and open-source models (LLaMA, Mistral, etc.). • Fine-tune and optimize models for domain-specific use cases. • Build evaluation frameworks to measure model accuracy, prompt effectiveness, and output quality. • Work closely with product managers and domain experts to translate business needs into robust AI-driven solutions. • Develop scalable APIs, pipelines, and microservices that integrate AI models into Moniepoint’s backend systems. • Ensure scalability, security, and reliability of AI systems in production environments. • Research and experiment with cutting-edge techniques in embeddings, RAG (retrieval-augmented generation), and generative AI deployment.

🎯 Requirements

• BS/MS in Computer Science, Engineering, or a related technical field. • 5+ years of professional experience as a Python Developer, preferably in AI/ML-focused roles. • Proven hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, or HuggingFace. • Strong skills in prompt engineering (system prompts, few-shot, zero-shot, and chain-of-thought techniques). • Experience with LangChain, LangGraph, LlamaIndex, Ollama, or similar orchestration frameworks. • Familiarity with vector databases (Pinecone, Weaviate, FAISS, Redis, PgVector, etc.) and embeddings. • Good understanding of NLP fundamentals, machine learning workflows, and fine-tuning techniques. • Experience building APIs and integrating AI into production systems. • Knowledge of cloud environments (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes). • Strong problem-solving skills, with an emphasis on experimentation, iteration, and data-driven decision making. • Strong debugging skills and a methodical approach to problem-solving. • Excellent communication skills and a team-first attitude.

🏖️ Benefits

• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. • Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave plus other benefits.