Agentic AI Engineer: Enterprise Flows & Safe Autonomy

agilebridge; Pretoria; On-site; ZAR 1,000,000 - 1,400,000; Full time

Job summary

Agile Bridge seeks an Agentic AI Engineer to connect foundation models, enterprise knowledge and software tools into secure, reliable AI solutions that fit real business processes rather than demos.

You will design flows, agents, skills and evaluations, implement guardrails and escalation paths, and collaborate with AI Engineers, Data Scientists and Platform Engineers to deliver production-ready AI services.

Qualifications

• A bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, Data Science, Artificial Intelligence or a related field.
• Typically 3-5 years' relevant experience in software or AI engineering, including production software delivery.
• Strong Python capability and evidence of clean, testable and maintainable engineering practices.
• Practical experience integrating foundation-model capabilities into applications, services or workflows.
• Experience with APIs, enterprise data integration and cloud-based delivery practices.
• The judgement to balance usefulness and autonomy with reliability, security, privacy, latency and cost.

Responsibilities

• Translate business processes into clear flows, agent responsibilities, skills, decision points and measurable success criteria.
• Design agentic architectures that integrate foundation models, enterprise applications, APIs, data sources and human controls.
• Develop and test flows, agents, skills, services and APIs using strong software-engineering practices.
• Build retrieval, context, memory and state-management patterns that provide relevant, grounded information.
• Create evaluation datasets and automated checks for task completion, grounding, tool use, safety, latency and cost.
• Deploy and monitor AI services, using traces and operational evidence to improve prompts, retrieval, context and orchestration.
• Implement guardrails, access controls, privacy protections and secure tool-use patterns.
• Communicate behaviour, trade-offs, limitations and operational requirements to customers and engineering teams.
• Research emerging models and frameworks, adopting them only where evaluation demonstrates meaningful value.

Skills

Python

Software engineering

APIs

Foundation-model integration

Security & governance

Education

Bachelor's degree in Computer Science, Software Engineering, IT, Data Engineering, Data Science, AI or related field

Tools

Docker

CI/CD

LangChain

Kubernetes

Semantic Kernel

Job description

Agile Bridge seeks an Agentic AI Engineer to connect foundation models, enterprise knowledge and software tools into secure, reliable AI solutions that fit real business processes rather than demos.

You will design flows, agents, skills and evaluations, implement guardrails and escalation paths, and collaborate with AI Engineers, Data Scientists and Platform Engineers to deliver production-ready AI services.