AI/ML PYTHON ENGINEER (REMOTE) AT MONIEPOINT INC.

About Company:

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Moniepoint processed $182 billion in 2023, and currently processes the majority of the POS transactions in Nigeria.

Job 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.

Salary

Application Closing Date: Not specified

Application Instructions:

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