Edge AI Engineer - On-Prem ML & LLM Expert

HENSOLDT South Africa; Centurion; On-site; ZAR 1,200,000 - 1,600,000; Full time

Job summary

HENSOLDT South Africa is seeking an Applied AI Engineer to develop, deploy and maintain AI solutions across process automation and product applications. The role blends software engineering with applied ML, LLMs and Edge AI to improve efficiency and product capability.

The ideal candidate has a BEng in Electronic or Computer Engineering with at least 6 years of software engineering experience, including 2 years in ML/DL, and advanced degrees or certifications in ML/AI are advantageous.

Qualifications

• BEng in Electronic Engineering or Computer Engineering.
• Minimum 6 years’ professional software-engineering experience, including at least 2 years in applied machine learning or deep-learning model development.
• Honours or Master’s Degree in Machine Learning or Artificial Intelligence is advantageous.
• Certification or formal training in ML/AI tools or platforms is advantageous.
• Experience with large language models, computer vision or Edge AI is advantageous.
• Experience in defence or regulated environments and traceability requirements is advantageous.

Responsibilities

• Maintain and optimise deployed open-weight AI models, GPU hardware and services in an on-premise AI environment for secure and efficient platform operation.
• Develop and improve AI agents to generate organisational, technical and process documentation within approved templates.
• Extend automated pipelines to generate engineering-design and traceability records from source code.
• Develop and integrate Edge AI modules across product architectures to enhance functionality while respecting constraints.
• Train and advise engineering teams on responsible AI use and maintain specialist knowledge through research and development.

Job description

HENSOLDT South Africa is seeking an Applied AI Engineer to develop, deploy and maintain AI solutions across process automation and product applications. The role blends software engineering with applied ML, LLMs and Edge AI to improve efficiency and product capability.

The ideal candidate has a BEng in Electronic or Computer Engineering with at least 6 years of software engineering experience, including 2 years in ML/DL, and advanced degrees or certifications in ML/AI are advantageous.