AI-Enabled Full-Stack Engineer

Role Purpose

We are looking for a versatile and motivated engineer with experience in software development and exposure to AI/ML concepts to help design and build intelligent, full-stack solutions. The role focuses on developing AI-enabled applications, integrating LLM-based capabilities, and building scalable backend and frontend systems that support business automation and operational efficiency. Candidates with experience in modern software engineering who are interested in growing into AI engineering are encouraged to apply. Ai Engineer (Full Stack)

Recruiter:

IDBASE SOFTWARE

Job Ref:

4111169251

Date posted:

Thursday, March 19, 2026

Location:

Johannesburg, South Africa

SUMMARY:

POSITION INFO:

Role Purpose

We are looking for a versatile and motivated engineer with experience in software development and exposure to AI/ML concepts to help design and build intelligent, full-stack solutions. The role focuses on developing AI-enabled applications, integrating LLM-based capabilities, and building scalable backend and frontend systems that support business automation and operational efficiency. Candidates with experience in modern software engineering who are interested in growing into AI engineering are encouraged to apply.

Key Responsibilities

AI & Solution Development

• Contribute to the design and development of AI-enabled solutions that improve business processes • Support implementation of LLM-based features such as chatbots, copilots, or automation tools • Assist with building and improving AI workflows (e.g., retrieval-augmented systems, document processing, or automation pipelines) • Work with datasets and APIs to support AI model integration and application use cases

Software Engineering (Full Stack)

• Develop backend services using Java (Spring Boot) and/or Python • Build frontend applications using React and/or Angular • Design and implement APIs and integrate systems across platforms • Support development of scalable, maintainable software solutions

Data & Integration

• Work with structured and unstructured data in application development • Integrate systems using APIs and messaging tools (e.g., Kafka, RabbitMQ, or ActiveMQ) • Support workflow automation and business process integration

Engineering Practices

• Follow best practices for coding, testing, version control, and CI/CD • Participate in code reviews and contribute to improving code quality • Support monitoring, debugging, and performance improvements • Work within secure and governed development environments

Collaboration & Delivery

• Work closely with product owners, designers, and other engineers • Translate business requirements into technical solutions • Contribute to Agile ceremonies, planning, and delivery cycles • Communicate progress, challenges, and solutions clearly

Required Experience & Skills

• 4–5+ years’ experience in software development (full stack or backend) (5+ years advantageous) • 2–3+ years’ experience working with AI and/or machine learning • Experience building production applications or systems • Strong programming skills in Java, Python, or similar languages • Experience with REST APIs and system integration • Exposure to frontend or backend development (React, Angular, Spring Boot, etc.) • Understanding of data handling and basic database concepts (SQL or similar) • Familiarity with version control (Git) and CI/CD processes • Interest or exposure to AI/ML concepts such as LLMs, automation, or data-driven applications

Advantageous Experience

• Exposure to AI/ML concepts such as RAG, LLMs, or prompt engineering • Experience working with messaging systems (Kafka, RabbitMQ, ActiveMQ) • Familiarity with cloud platforms or DevOps practices • Experience with workflow or automation tools • Knowledge of working with documents, APIs, or data-heavy systems

Education

• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience

What Makes You a Good Fit

• You are a problem solver with strong software engineering fundamentals • You are curious about AI and interested in building intelligent systems • You enjoy working across backend, frontend, and integration layers • You are eager to learn and grow into modern AI engineering practices • You work well in collaborative, fast-paced environments