9 Ai engineer Jobs and Work in Pretoria Gauteng

AI Engineer
Agile Bridge —Pretoria, Gauteng 0081
- Full-time
Quick Apply
AI Engineer
Vaimo —Pretoria, Gauteng 0083
Quick Apply
AI Engineer (Full-Stack)
Hire Overseas —Pretoria, Gauteng
- Full-time
- Remote
Quick Apply
GTM Engineer (Clay & Claude)
Hire Overseas —Pretoria, Gauteng
- Full-time
- Remote
Quick Apply
AI Automation Engineer
PBT Group —Midrand, Gauteng
1d
Data Scientist
Agile Bridge —Pretoria, Gauteng 0081
Quick Apply
Operations Engineer
Accenture —Midrand, Gauteng
- Full-time
3h
NetDevOps Engineer
Jurumani Solutions —Midrand, Gauteng
- Full-time
Quick Apply
Senior Data Engineer
Momentum Investments —Centurion, Gauteng

More jobs to discover

Find similar jobs that you might be interested in.

AI Engineer
Agile Bridge —Pretoria, Gauteng 0081
Bachelor’s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or equivalent.
Quick Apply
AI Engineer
Vaimo —Pretoria, Gauteng 0083
Collaborate with data teams to ensure high-quality inputs and labeling consistency. Optimize model latency, cost, and accuracy based on real-world usage data.
Quick Apply

I want to receive the latest job alert for ai engineer in pretoria gauteng

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ai engineer jobs near pretoria gauteng

Data Engineer jobs in Centurion, Gauteng

Back End Developer jobs in Johannesburg, Gauteng

Ai Developer jobs in Durban, Kwazulu Natal

Ai Developer jobs in Sandton, Gauteng

Html Css Developer jobs in Cape Town, Western Cape

Android Developer jobs in Capital Federal, Buenos Aires

Full Stack Developer jobs in Boedo, Buenos Aires

Full Stack Developer jobs in Desde Casa

Full Stack Developer jobs in Remote

Full Stack Developer jobs in Resistencia, Chaco

Entry Level Developer jobs in Work From Home

Ai Developer jobs in Johannesburg, Gauteng

Ai Developer jobs in Cape Town, Western Cape

Ai Developer jobs in Gauteng

Junior Software Developer jobs in Pretoria, Gauteng

Data Engineer jobs in Amalinda, Eastern Cape

Electrical Engineer jobs in Gauteng

Automation Engineer jobs in Cape Town, Western Cape

Data Engineer jobs in Claremont, Western Cape

Data Engineer jobs in Amatole, Eastern Cape

AI Engineer

Agile Bridge
Pretoria, Gauteng 0081

Quick Apply

Job Details

Full-time

Full Job Description

The Role Purpose:

We are seeking an AI Engineer to join our team, with a primary focus on designing, developing, and maintaining production-grade software solutions that leverage Large Language Models (LLMs), embedding models, and other generative technologies. This role emphasizes building scalable, reliable, and secure agentic solutions (including multi-agent systems) for external market-facing products and internal enterprise enablement.

The successful candidate will combine strong software engineering fundamentals with deep practical capability in retrieval-augmented generation (RAG), knowledge management, prompt/context engineering, model/tool orchestration, and AI governance guardrails.

The successful candidate will play a key role in building scalable systems for external market-facing products.

Your Responsibilities will include:

Design, develop, test, and deploy end-to-end GenAI-enabled software solutions (services, APIs, workflows, and product features).
Build agentic systems, including multi-agent architectures, tool-use patterns, orchestration flows, and production tooling integrations.
Design and implement RAG pipelines for both product and enterprise contexts, including knowledge-based curation, ingestion, document processing, chunking strategies, embedding generation, retrieval tuning, and answer grounding.
Develop and operationalize robust prompt and context engineering practices (prompt templating, context window management, instruction hierarchy, tool routing, and response formatting).
Implement agent memory management patterns and frameworks to support short-term and long-term memory, personalization, and session continuity (where applicable).
Integrate and operate model providers and runtimes for production use-cases, including hosted APIs and self-hosted inference, optimizing for latency, cost, throughput, and reliability.
Develop microservices and APIs that expose GenAI/agent capabilities to web applications and downstream systems; maintain strong engineering standards for versioning, observability, and backward compatibility.
Design and maintain data stores supporting GenAI applications, including relational, vector, and graph patterns to enable retrieval, reasoning, and relationship-aware experiences.
Implement AI Governance practices: apply and monitor guardrails (policy enforcement, content filtering, PII handling, prompt injection defences, auditability, and safe tool execution).
Evaluation and monitoring approaches for GenAI systems (quality, grounding, safety, latency, cost), contributing to continuous improvement initiatives.
Collaborate with cross-functional teams (Product, Engineering, UX, Data/ML, Security, Compliance) to translate business requirements into technically sound solutions.
Participate in code reviews, architectural discussions, and agile planning sessions; contribute to internal standards, patterns, and reusable components.
Maintain and enhance legacy systems where required, integrating GenAI functionality safely without compromising stability.

The ideal candidate for the role will have the following qualifications, experience and knowledge:

Educational Background:

Bachelor’s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or equivalent
Postgraduate qualification in Artificial Intelligence, Machine Learning, Data Science, or Applied Mathematics is advantageous
Relevant certifications are advantageous (examples include Microsoft Azure AI Engineer, AWS Machine Learning, or similar cloud/AI certifications).

Work Experience:

3-4 years of experience in delivering production-grade software (greenfield and brownfield), including backend services and customer-facing modules.
Proven hands-on experience building and deploying GenAI solutions in production, including LLM-powered features, RAG-based systems, or agentic workflows.
Experience implementing governance controls and operational monitoring for GenAI systems in real-world environments.
Strong practical exposure to modern software engineering practices: CI/CD, testing, code review, observability, and secure API design.

Knowledge:

Strong understanding of LLM/embedding fundamentals as applied in production systems (retrieval, grounding, context shaping, evaluation, and failure modes).
Knowledge of multi-agent patterns, tool/function calling (MCP), workflow orchestration, and safe execution boundaries.
Understanding of data management strategies for GenAI (document pipelines, vector search, graph relationships, and relational integrity).
Familiarity with data privacy principles, security-by-design, and governance expectations relevant to enterprise-grade AI solutions.

Technical Skills:

Core Engineering & Platforms

Python (GenAI services, orchestration, data pipelines), C#, REST APIs, microservices, event-driven systems (Kafka).
Strong engineering fundamentals (clean architecture, testing, security, performance).

GenAI, Agents & RAG

Prompt and context engineering, agent frameworks (e.g. LangChain, LangGraph, LangSmith, CrewAI, Semantic Kernel), workflow automation (e.g. n8n).
Experience with hosted and self-hosted models (OpenAI/Azure/AWS, Ollama, vLLM). RAG systems: document ingestion, embeddings, hybrid retrieval, reranking, citations, and knowledge lifecycle management.

Data, Memory & Storage

PostgreSQL (incl. timescale), vector DBs (Qdrant, Milvus), graph DBs (Neo4j, Apache AGE).
Agent memory patterns (session, long-term, summarization) with privacy and risk controls.

Security, Governance & Ops

GenAI guardrails (prompt/tool injection defence, PII handling, auditing).
Cloud & DevOps (Azure/AWS, CI/CD, Git, Docker/Kubernetes). Observability for LLM systems. Agile delivery and GenAI-specific testing/evaluation

Quick Apply

Refine Your Search

ai engineer jobs in pretoria gauteng

AI Engineer

AI Engineer

AI Engineer (Full-Stack)

GTM Engineer (Clay & Claude)

AI Automation Engineer

Data Scientist

Operations Engineer

NetDevOps Engineer

Senior Data Engineer

More jobs to discover

I want to receive the latest job alert for ai engineer in pretoria gauteng

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected