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SU - Back-End AI Software Developer

Somewhere Agency Mid Software & IT

Back-End AI Software Developer role based in South Africa, responsible for designing and building scalable server-side infrastructure for AI applications, integrating ML models, developing APIs, and collaborating with cross-functional teams. Requires 3+ years back-end experience, proficiency in Python/Node.js/Java, and familiarity with AI frameworks and cloud platforms.

Can a South African apply?

This posting names South Africa itself. Here is the line, exactly as it appears on the employer’s own page:

Location: South Africa

Quoted from the posting when we last checked it on 2026-09-15. Employers change eligibility without notice — the employer’s page is the authority, not this one.

What it pays

As advertised
$1 000 – 5 500/mo

The full posting

Reproduced from the employer’s own listing, unedited.

Read the posting in full · 443 words

Back-End AI Software Developer

LocationSouth Africa

Salary Range1000 - 5500 USD

Role Description

The Back-End AI Software Developer is responsible for designing, building, and maintaining scalable server-side infrastructure that supports AI-powered applications and services. This role works closely with machine learning engineers, data scientists, and front-end developers to implement APIs, data pipelines, and integrations with AI models and frameworks. The ideal candidate has strong back-end development experience and a solid understanding of deploying, managing, and optimizing AI and ML systems in production environments.

Key Responsibilities

  • Design and develop robust, secure, and scalable back-end systems and APIs to support AI-driven features.
  • Integrate machine learning models (via frameworks like TensorFlow, PyTorch, Hugging Face) into production-ready applications.
  • Develop and maintain RESTful or GraphQL APIs for use by front-end teams and external services.
  • Collaborate with AI/ML engineers to deploy, serve, and monitor models efficiently using tools like FastAPI, Flask, Django, or Node.js.
  • Optimize inference performance and manage versioning and scaling of AI models.
  • Implement data pipelines for training, inference, and feedback loops using cloud and big data tools.
  • Set up and manage infrastructure on cloud platforms (AWS, GCP, Azure) including CI/CD pipelines, containers (Docker), and orchestration (Kubernetes).
  • Ensure system security, compliance, and data protection throughout all back-end operations.
  • Monitor system performance, troubleshoot issues, and improve backend scalability and reliability.
  • Collaborate cross-functionally in agile development cycles with product managers, front-end developers, and data teams.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 3+ years of experience in back-end development, with a strong command of Python, Node.js, or Java.
  • Experience working with AI/ML model deployment in real-time or batch environments.
  • Familiarity with AI frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Transformers.
  • Strong experience with RESTful API development, microservices architecture, and asynchronous processing.
  • Proficient in database technologies (SQL, NoSQL) and data modeling.
  • Experience with Docker, Kubernetes, Git, and CI/CD workflows.
  • Knowledge of cloud environments and services (e.g., AWS Lambda, EC2, S3, SageMaker; or equivalents in GCP/Azure).
  • Strong problem-solving skills, attention to detail, and ability to work independently or in a collaborative team setting.

Preferred Skills

  • Experience with MLOps tools and model lifecycle management.
  • Familiarity with message brokers (Kafka, RabbitMQ) and task queues (Celery, Redis).
  • Understanding of data privacy regulations and security best practices in AI applications.
  • Exposure to large language models (LLMs) and prompt engineering concepts.
  • Background in SaaS, fintech, healthcare tech, or other AI-heavy domains is a plus.

Details

  • Independent contractor agreement paid 2x monthly.
  • Client has a desire for long term commitment.

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