Applied AI Engineer — Edge AI & ML Platform Innovator

HENSOLDT AG; Irene; On-site; ZAR 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Flexible working models

Professional development

Competitive salary & benefits

Job summary

HENSOLDT South Africa invites applications for an Applied AI Engineer who combines professional software engineering with applied machine learning to improve process automation and product capabilities. The role operates in a controlled engineering environment with on-premise AI deployment.

You will maintain and optimize open-weight AI models, build AI agents for documentation, and extend automated pipelines to ensure traceability from code to documentation, while integrating Edge AI into

Qualifications

• BEng in Electronic Engineering or Computer Engineering.
• Minimum 6 years’ professional software-engineering experience, incl. 2+ years in applied ML/dl.
• Honours/Master’s in ML/AI advantageous.
• Certifications in ML/AI tools/platforms advantageous.
• Experience with LLMs, CV or Edge AI advantageous.
• Experience in defence/security or regulated environments advantageous.

Responsibilities

• AI Platform Maintenance and Optimisation across on-prem AI environment.
• AI-Assisted Document Generation using AI agents and approved templates.
• Engineering Automation and Traceability via automated pipelines from source code.
• Edge AI Development and Product Integration across architectures.
• AI Capability Enablement and Knowledge Development for engineering teams.

Skills

Python

C and C++

Computer Vision

Edge AI Development

AI Agent Development

Open-Weight Model Deployment and Serv

Qwen

Llama

Mistral

DeepSeek or Similar Models

OpenCV

PyTorch

TensorFlow

CUDA

TensorRT

NVIDIA Jetson

Version Control

Automated Software Testing

CI/CD Pipelines

Engineering Automation and Traceabil

Education

BEng in Electronic Engineering or Computer Engineering

Honours or Master’s in ML/AI

Job description

HENSOLDT South Africa invites applications for an Applied AI Engineer who combines professional software engineering with applied machine learning to improve process automation and product capabilities. The role operates in a controlled engineering environment with on-premise AI deployment.

You will maintain and optimize open-weight AI models, build AI agents for documentation, and extend automated pipelines to ensure traceability from code to documentation, while integrating Edge AI into