AI Engineer (Advanced) 1154

Recruiter:

Open Source (Pty) Ltd

Job Ref:

JHB001877/KMM

Date posted:

Tuesday, May 5, 2026

Location:

Menlyn, South Africa

SUMMARY:

Senior AI Engineer – Generative AI & Cloud Platforms

We are looking for a Senior AI Engineer to design, build, and operationalise productionâgrade AI systems at enterprise scale. This role is ideal for someone passionate about LLMs, RAG systems, multiâagent architectures, and cloudânative AI, with a strong engineering and MLOps mindset.

POSITION INFO:
Essential Skills

LLMs, RAG systems, multiâagent frameworks (LangChain, LangGraph, GAIA)
Advanced Python and ML engineering (TensorFlow, PyTorch, Scikitâlearn)
Vector databases (FAISS, Pinecone, OpenSearch/Elasticsearch)
Prompt engineering & context orchestration
AWS AI/ML stack (SageMaker, Lambda, API Gateway, DynamoDB, S3)
MLOps, CI/CD, GitHub Actions, ML pipelines
Data engineering (Spark, Kafka, SQL/NoSQL, ETL/ELT)
Docker, Kubernetes (EKS), Terraform
API & microservices development
Strong understanding of AI security, IAM, governance, and compliance

Advantageous Skills

Experience delivering productionâgrade GenAI systems
Strong foundations in maths, optimisation, and deep learning
AI cost optimisation and performance tuning
Graphâbased reasoning, semantic caching, model evaluation strategies
Ability to translate business needs into AI architecture
Experience leading technical streams and solution delivery

Role & Responsibilities:

Build scalable AI/ML solutions including LLMâbased systems, RAG pipelines, embeddings, agents, and NLP/vision models
Design and implement retrieval pipelines, vector search, and semantic indexing
Develop cloudânative AI workflows on AWS (SageMaker, Lambda, Step Functions, EMR)
Operationalise models using MLOps pipelines, monitoring, drift detection, and CI/CD
Integrate AI capabilities into enterprise platforms, APIs, and microservices
Lead PoCs through to production, contributing to architecture and solution design
Ensure security, governance, risk, and responsible AI best practices
Document architectures, decisions, and reusable solution patterns
Collaborate in Agile teams across planning, refinement, and delivery

Qualifications

Degree in Computer Science, Engineering, Data Science, or related
Preferred certifications:
- AWS Machine Learning – Specialty
- AWS Solutions Architect
- DeepLearning.AI (GenAI / LLMs / Agents)
- HashiCorp Terraform Associate

Send CV to: kundai.

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