Ai Engineer (Generative Ai, Langchain)

e-Merge IT Recruitment; Johannesburg; Hybrid; ZAR 900,000 - 1,100,000; Full time

Job summary

e-Merge IT Recruitment is seeking an experienced AI Engineer to design, build, and deploy AI solutions in Johannesburg. You will work on generative AI, NLP, CV, and ML model development while collaborating with cross-functional teams.

The role requires 5+ years in AI/ML, strong Python and ML framework experience, and cloud deployment skills. Hybrid work in Johannesburg, with a competitive salary up to R1,000,000 per year.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, ML, Math or related field.
• 5+ years’ experience in AI/ML/Data Science or related role.
• Experience with large structured and unstructured datasets.
• Experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience developing REST APIs and integrating AI in enterprise apps (FastAPI/Flask).
• Experience deploying AI solutions on Azure, AWS, or GCP.
• Proficiency with Docker, Kubernetes, CI/CD, Git/GitHub, Linux.
• Exposure to NLP, Computer Vision, Generative AI, LLMs, or RL is advantageous.

Responsibilities

• Design, develop, train, and deploy ML/DL models.
• Build AI-powered apps including NLP, CV, recommender systems, generative AI.
• Prepare data: cleaning, preprocessing, feature engineering.
• Deploy models via APIs/microservices in cloud environments.
• Monitor performance and retrain as needed.
• Collaborate with Data Scientists, Software Engineers, PMs, stakeholders.
• Stay current with AI technologies and industry trends.

Skills

Python

Machine Learning

REST APIs

Cloud platforms

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

FastAPI

Flask

Azure

AWS

GCP

Docker

Kubernetes

Job description

AI Engineer (Generative AI, LangChain) – Johannesburg – up to 1mil CTC

A leading consulting firm is looking for a highly motivated AI Engineer to design, build, deploy, and optimize intelligent solutions powered by artificial intelligence, machine learning, and deep learning technologies. In this role, you will collaborate with cross-functional teams to develop scalable AI applications, transform complex datasets into meaningful business insights, and deliver innovative, data-driven solutions that address client challenges and create measurable value. You will also be responsible for ensuring AI systems are reliable, maintainable, and aligned with business objectives throughout their lifecycle.

Responsibilities:

• Design, develop, train, and deploy machine learning and deep learning models.
• Build and maintain AI-powered applications, including natural language processing (NLP), computer vision, recommendation systems, and generative AI solutions.
• Collect, clean, preprocess, and analyse large datasets to support model development and optimisation.
• Perform feature engineering and data transformation to improve model performance.
• Deploy AI models into production environments using APIs, microservices, and cloud platforms.
• Monitor model performance, accuracy, and scalability, implementing retraining and optimisation strategies as required.
• Collaborate with Data Scientists, Software Engineers, Product Managers, and business stakeholders to translate requirements into AI solutions.
• Support continuous improvement initiatives and stay current with emerging AI technologies and industry trends.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field.
• Minimum 5+ years’ experience in AI Engineering, Machine Learning Engineering, Data Science, or a related role.
• Hands-on experience working with large structured and unstructured datasets.
• Experience building and deploying AI applications using Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Experience developing REST APIs and integrating AI solutions into enterprise applications using FastAPI or Flask.
• Experience deploying and managing AI solutions on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Proficiency with Docker, Kubernetes, CI/CD pipelines, Git/GitHub, and Linux-based environments.
• Exposure to Natural Language Processing (NLP), Computer Vision, Generative AI, Large Language Models (LLMs), or Reinforcement Learning will be advantageous

The Reference Number for this position is NG61191 which is a Permanent, Hybrid role in Johannesburg offering a salary of up to R1mil per annum salary negotiable based on experience. E-mail Nokuthula on [e-mail] or call her for a chat on 011 463 3633 to discuss this and other opportunities.