AI Engineer – Lagos, Nigeria

Artificial Intelligence
Nigeria
January 14, 2026
Full Time
Apply Now

Job Description

Employment Type: Full-Time  (Hybrid)

Our client is looking for a talented and motivated AI/ML & Data Engineer to join their team. In this role, you will work on cutting-edge AI/ML solutions, manage data pipelines, and ensure the secure handling of personal data. You will collaborate across cloud, SDK, and mobile environments, helping to build scalable, reliable, and innovative AI products.

Key Responsibilities

AI/ML Engineering

  • Work with existing production models written in C++ and deployed as SDKs, Android libraries, and REST-based services.
  • Develop, deploy, and maintain AI/ML models across cloud, SDK, and mobile platforms.
  • Build and manage demo applications (e.g., Streamlit apps) that interact with AI models via REST APIs.
  • Design end-to-end machine learning pipelines for continuous training, monitoring, and performance optimization.
  • Integrate and deploy AI agents using open-source LLMs and frameworks like MCP to create extensible, tool-based workflows.
  • Ensure the stability, reliability, and ongoing maintenance of production AI products.

Data Engineering & Analytics

  • Identify, acquire, and interpret diverse data sources.
  • Clean, merge, and transform datasets to support AI model development.
  • Create meaningful visualizations and analytical summaries to drive data-informed decisions.
  • Lead end-to-end data exploration and communicate insights effectively to both technical and non-technical stakeholders.

PII Data Processing

  • Design and implement IT systems for the secure collection and processing of personal data.
  • Gather and manage PII data using approved tools and strategies.
  • Implement robust security measures to protect personal data throughout its lifecycle.
  • Ensure secure storage and controlled access to collected data.
  • Safely manage the transfer of personal data between organizations in compliance with relevant regulations.

Requirements

  • Strong proficiency in Python and experience with ML and data libraries such as OpenCV, Matplotlib, Pandas, etc.
  • Experience with major ML frameworks such as TensorFlow or PyTorch.
  • Basic knowledge of C++ environments, particularly for SDK/model debugging, is a plus.
  • Experience working with Large Language Models (LLMs) for embeddings, text generation, or pipeline integration.
  • Familiarity with Model Context Protocol (MCP) for building extensible AI workflows is advantageous.
  • Experience creating internal dashboards, prototypes, or tools using Streamlit is a plus.
  • Strong documentation skills for technical requirements, system specifications, and workflow processes.
  • Proficiency with GitHub/GitLab for version control, CI/CD, and collaborative development.
  • Excellent analytical, communication, and problem-solving skills.

Benefits

  • Competitive salary and performance-based bonuses
  • Mid-year grants
  • Stock options
  • Hybrid work model
  • Top-notch tools and technology
  • Opportunity to work alongside brilliant minds in the AI/ML space