Senior AI Engineer & Machine Learning Engineer

Maitama, Abuja
February 9, 2026
₦350,000 / month
Full Time
Application ends: March 9, 2026
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Job Description

A reputable organisation in the technology and innovation space is seeking an experienced Senior AI Engineer & Machine Learning Engineer to design, build, and deploy autonomous AI agents across complex digital environments. This role focuses on applying large language models (LLMs), agentic frameworks, and multi-agent systems to deliver production-ready AI solutions with real-world business impact. The position involves close collaboration with cross-functional teams to develop scalable, secure, and high-performing AI-driven products.

Responsibilities

  • Design and implement autonomous AI agents using LLMs, planning algorithms, and decision-making frameworks.
  • Develop agent architectures that support autonomy, interactivity, and reliable task execution.
  • Integrate AI agents into applications, APIs, and workflows such as chatbots, copilots, and automation tools.
  • Implement MLOps and LLMOps practices, including CI/CD pipelines, model monitoring, and performance evaluation.
  • Lead initiatives around model lifecycle management, including automated retraining, versioning, and deployment workflows.
  • Collaborate with researchers, engineers, and product teams to align agent capabilities with business and product goals.
  • Optimize agent behaviour using feedback loops, reinforcement learning techniques, and user interaction data.
  • Monitor performance and implement safety, reliability, and ethical guardrails for AI systems.
  • Contribute to large-scale system architecture and provide technical leadership on AI-driven solutions.
  • Maintain clear documentation of system design, pipelines, dependencies, and decision rationale.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
  • Minimum of 5 years of hands-on Python development experience, including full software development lifecycle and PySpark exposure.
  • At least 5 years of experience building, training, fine-tuning, and deploying machine learning models in production.
  • Proven experience leading Generative AI initiatives from concept through deployment.
  • Strong working knowledge of AI/ML frameworks and libraries such as LangChain, OpenAI API, Hugging Face, PyTorch, and scikit-learn.
  • Practical experience with MLOps and LLMOps, including automated pipelines, CI/CD for models, monitoring, and lifecycle management.
  • Experience deploying AI solutions with Docker and Kubernetes in scalable environments.
  • Understanding of agent-based systems, reinforcement learning, multi-agent architectures, and planning algorithms.
  • Experience integrating LLMs into real-world applications and backend systems via APIs and deployment pipelines.
  • Ability to work independently in fast-paced, experimental environments with rapid prototyping and iteration.

Preferred Qualifications

  • Experience with autonomous agent frameworks such as AutoGPT, LangChain Agents, or LangGraph.
  • Background in human–AI interaction, conversational UX, or simulation environments.
  • Knowledge of vector databases, prompt engineering, and retrieval-augmented generation (RAG).
  • Hands-on experience with MLOps/LLMOps tools such as MLflow, Kubeflow, or TensorFlow Extended.
  • Contributions to open-source AI projects or a portfolio demonstrating agent-based systems and AI/ML solutions.

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