Back-End AI Software DeveloperLocation:South AfricaSalary Range:1000 - 5500 USDRole 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.