Senior AI Engineer Hybrid R1.PA

Overview

We are seeking an experienced Senior AI Engineer with 6 years of software engineering experience to play a pivotal role in our team. This hybrid role combines expert-level software engineering with advanced AI development and system architecture. You will lead the design and implementation of autonomous AI agents, complex reasoning workflows, and Retrieval-Augmented Generation (RAG) systems using Lang Chain and modern LLM tooling.

• IT Degree in Computer Science Engineering or related field
• 6 years of general Software Engineering experience
• Demonstrated technical leadership in delivering complex systems
• Proven portfolio or track record of LLM-based applications or AI agents
• Expert proficiency in Python (mandatory)
• Deep production-grade experience with Lang Chain
• Strong proficiency with Lang Graph for multi-agent orchestration (highly desirable)
• Advanced experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector) including indexing and optimization
• Strong understanding of RAG vs fine-tuning trade-offs, context window management, and inference cost/latency optimization
• Experience working with GPTs, Claude and/or local LLMs
• Expert-level API development using FastAPI or Flask including asynchronous patterns
• Advanced Postgre
  
  SQL expertise (schema design, query optimization); understanding of No
  
  SQL consistency models
• Deep experience designing and deploying scalable systems on AWS (Bedrock, Sage Maker, Lambda, ECS) or Azure
• Advanced Docker and container orchestration skills (Kubernetes or ECS)
• Proficiency with Infrastructure as Code (Terraform, AWS CDK or Cloud Formation)

• Expert-level API development using FastAPI or Flask including asynchronous patterns
• Advanced Postgre
  
  SQL expertise (schema design, query optimization); understanding of No
  
  SQL consistency models
• Deep experience designing and deploying scalable systems on AWS (Bedrock, Sage Maker, Lambda, ECS) or Azure
• Advanced Docker and container orchestration skills (Kubernetes or ECS)
• Proficiency with Infrastructure as Code (Terraform, AWS CDK or Cloud Formation)

• Expert knowledge of algorithms, data structures and system design
• Strong experience with microservices, event-driven architectures and SOLID principles
• Ability to guide frontend integration using React, Vue or Angular
• Championing engineering standards, testing strategies (Pytest), code reviews and system reliability
• Mastery of Git, CI/CD pipelines and collaborative workflows
• Flexibility to take up different tasks in the team and be a team player

Reference Number for this position is GZ60986 which is a permanent Hybrid position based in Pretoria offering a cost to company salary of R1.1m pa negotiable on experience and ability. Contact Garth on or call him on to discuss this and other opportunities.

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Senior IC

We are seeking an experienced Senior AI Engineer with 6 years of software engineering experience to play a pivotal role in our team. This hybrid role combines expert-level software engineering with advanced AI development and system architecture. You will lead the design and implementation of autonomous AI agents, complex reasoning workflows and Retrieval-Augmented Generation (RAG) systems using Lang Chain and modern LLM tooling.

Skills & Expertise

Required:

• IT Degree in Computer Science Engineering or related field
• 6 years of general Software Engineering experience
• Demonstrated technical leadership in delivering complex systems
• Proven portfolio or track record of LLM-based applications or AI agents
• Expert proficiency in Python (mandatory)
• Deep production-grade experience with Lang Chain
• Strong proficiency with Lang Graph for multi-agent orchestration (highly desirable)
• Advanced experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector) including indexing and optimization
• Strong understanding of RAG vs fine-tuning trade-offs, context window management and inference cost/latency optimization
• Experience working with GPTs Claude and/or local LLMs

Backend & Infrastructure:

• Expert-level API development using FastAPI or Flask including asynchronous patterns
• Advanced Postgre
  
  SQL expertise (schema design, query optimization); understanding of No
  
  SQL consistency models
• Deep experience designing and deploying scalable systems on AWS (Bedrock, Sage Maker, Lambda, ECS) or Azure
• Advanced Docker and container orchestration skills (Kubernetes or ECS)
• Proficiency with Infrastructure as Code (Terraform, AWS CDK or Cloud Formation)

Software Engineering &…