Job role insights

  • Date posted

    June 30, 2026

  • Closing date

    July 21, 2026

  • Location

    Kenya Nairobi

  • Career level

    Mid Level

  • Qualification

    Bachelor Degree

  • Experience

    2–5 Years

Description

We are seeking forward-thinking AI Engineers to join our talent network for future opportunities. Candidates will be evaluated for upcoming projects involving Artificial Intelligence, Machine Learning, Generative AI, automation, and intelligent software systems.

Responsibilities

  • Design, develop, and deploy AI-powered applications and solutions.
  • Build and optimize machine learning and deep learning models.
  • Develop and integrate Large Language Model (LLM) solutions into business applications.
  • Create scalable APIs and backend services supporting AI functionality.
  • Implement Retrieval-Augmented Generation (RAG) and AI agent workflows.
  • Collaborate with software, product, and business teams to identify AI use cases.
  • Evaluate model performance and continuously improve system accuracy and efficiency.
  • Apply best practices in AI security, governance, and responsible AI development.
  • Stay current with emerging AI technologies, frameworks, and industry trends.

Requirements

Qualifications

Required

  • Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
  • Strong proficiency in Python and modern software development practices.
  • Understanding of Machine Learning, Deep Learning, and Generative AI concepts.
  • Experience working with AI frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Knowledge of REST APIs, databases, and cloud-based architectures.
  • Strong analytical, problem-solving, and communication skills.

Preferred

  • Experience with Large Language Models (LLMs) and Generative AI applications.
  • Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
  • Experience with vector databases and semantic search technologies.
  • Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices.
  • Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform.
  • Personal, academic, or commercial AI projects demonstrating practical application of AI technologies.

Notice

This posting is intended solely for talent sourcing and future recruitment needs. It does not represent an active vacancy at this time. Candidate profiles may be considered for future opportunities as they become available.

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