Full Stack Developer (Expert) 1508

Opensource Intelligent Solutions; Pretoria; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Opensource Intelligent Solutions in Pretoria, South Africa, seeks a Senior AI Software Engineer to own architecture, design, and development of AI-enabled platforms, data products, and cloud-native capabilities. You will lead end-to-end delivery across Python/Java, APIs, and data pipelines within a hybrid, 3-year engagement.

The role emphasizes secure, scalable software, observability, governance, and collaboration with cross-functional teams to advance AI-native engineering practices.

Qualifications

• 10+ years of software engineering experience with production systems.
• Expert-level delivery using Python and Java, with data and integration engineering.
• Practical evidence of AI-assisted or AI-native engineering, including governance and human review.
• AWS, Java, Python, data engineering, architecture, DevOps, Kubernetes, Terraform, Agile or AI-related certifications are advantageous.

Responsabilités

• Design, build, test, deploy, and operate secure, scalable, production-grade software and data products.
• Develop high-quality Python and Java solutions for APIs, microservices, automation, integrations, and platform services.
• Engineer reliable batch and event-driven data pipelines with strong observability, governance, and data quality controls.

Description du poste

AI Solutions Architect (Python & Java)

Location:

Pretoria, South Africa

Work Model:

Hybrid

Contract Duration:

3 years

We're looking for an exceptional Senior AI Software Engineer to help shape the evolution of a modern, AI-native data and platform ecosystem. This is a unique opportunity for a hands‑on engineer who thrives at the intersection of software engineering, data engineering, cloud platforms, and AI-enabled development. You'll own the full software lifecycle, from architecture and design through development, deployment, monitoring, support, and continuous improvement while building scalable data products, AI-powered solutions, and cloud-native platform capabilities.

Must have tech stack - 10 years and above;

Java

• Enterprise Java Development
• Spring / Spring Boot
• REST API Development
• Microservices Architecture
• Integration Services

Python

• 8+ years Python
• Data processing
• Automation
• APIs
• AI integrations

AI Engineering & GenAI

• LLMs
• RAG
• Prompt Engineering
• AI Agents
• AI-assisted Development

Software Engineering

• Enterprise application development
• Object-oriented design
• System design
• Secure coding
• Production support

API & Integration Development

• REST APIs
• Service Integration
• API Design
• Event-driven architecture

Data Engineering / Data Processing

• ETL / ELT
• Data Pipelines
• Data Transformation
• Database Development
• Data Quality

Databases

• PostgreSQL
• Oracle
• SQL Development

Role & Responsibilities

• Design, build, test, deploy, and operate secure, scalable, production-grade software and data products.
• Develop high-quality Python and Java solutions for APIs, microservices, automation, integrations, and platform services.
• Engineer reliable batch and event-driven data pipelines with strong observability, governance, and data quality controls.

Build AI-enabled solutions leveraging:

• LLMs
• AI Agents
• RAG (Retrieval-Augmented Generation)
• Prompt & Context Engineering
• AI Evaluation Frameworks
• Guardrails & Human Approval Workflows

Drive engineering excellence through:

• CI/CD
• Infrastructure as Code (Terraform preferred)
• Automated Testing
• Secure Coding Practices
• Code Reviews
• Production Readiness
• Collaboration closely with Product Owners, Architects, Data Engineers, Security, and Operations teams.
• Mentor engineers and contribute to technical leadership, architecture, and best practices.

Qualifications

• Relevant degree or diploma in Computer Science, Software Engineering, Information Technology, Data
• Engineering or a related field.
• 10 years of relevant software engineering experience, including responsibility for complex production systems.
• Expert-level delivery using Python and/or Java, with strong data and integration engineering experience.
• Practical evidence of AI-assisted or AI-native engineering, including evaluation, governance and accountable human review.
• AWS, Java, Python, data engineering, architecture, DevOps, Kubernetes, Terraform, Agile or AI-related certifications are advantageous.