AI Engineer

Required Education & Qualifications

• Honours Degree in Artificial Intelligence, Computer Science, Data Science, Computational Linguistics, or a related field.
• Masters Degree will be advantageous.
• Relevant AI and Machine Learning certifications (e.g., Azure AI, AWS AI, Google Cloud AI) are beneficial.

Required Experience

• Experience in Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing (NLP), or related disciplines.
• Practical experience developing and deploying AI-powered voicebots and chatbots.
• Hands-on experience building conversational AI solutions using Large Language Models (LLMs) and modern AI frameworks.
• Experience designing and implementing Speech-to-Text (STT), Text-to-Speech (TTS), and AI-powered quality assurance solutions.
• Exposure to language technologies supporting low-resource and African languages is highly desirable.
• Experience delivering AI solutions within customer service, contact centre, or customer experience environments is advantageous.
• Proven track record working with Generative AI, NLP, Voice AI, LLMs, API integrations, and speech technologies.

Technical Skills & Competencies

AI & Machine Learning

• Strong proficiency in Python, R, Java, or similar programming languages.
• Experience with AI and Machine Learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Deep understanding of NLP, NLU, Generative AI, LLMs, and conversational AI technologies.
• Experience working with Speech-to-Text, Text-to-Speech, speech analytics, and voice AI platforms.
• Knowledge of model deployment, monitoring, optimization, and MLOps practices.

Software Development & Integration

• Experience designing, developing, and integrating APIs using REST and GraphQL.
• Proficiency with Git, GitHub, version control best practices, and CI/CD pipelines.
• Experience with containerization technologies such as Docker.
• Strong database experience, including SQL and exposure to NoSQL technologies.
• Understanding of data engineering concepts, including ETL/ELT processes, data pipelines, and data orchestration.

Cloud & Infrastructure

• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong Azure experience is advantageous.
• Familiarity with scalable, cloud-based AI solution deployment and management.

Behavioural Competencies

• Strong analytical thinking and problem-solving ability.
• Passion for innovation and emerging technologies.
• Excellent communication and stakeholder engagement skills.
• Ability to work independently while contributing effectively within a collaborative team environment.
• Adaptability and resilience in fast-paced and evolving enviro
  
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