Senior Software Engineer, Applied AI | On-site | George WC at Badger Holdings (Pty) Ltd

What We Require

Non-negotiable

• Demonstrated experience building and shipping AI agent systems in production: not demos, not internal tools that never went live
• Ownership of an evaluation pipeline for a production AI system: you defined the metrics, built the framework, and used it to make deployment decisions
• Experience debugging production AI failures: you have traced a silent agent degradation to its root cause in a live system
• Proficiency in Python and LLM frameworks (LangChain, LlamaIndex, or equivalent)
• RAG architecture: retrieval pipeline design, vector database implementation, chunking and embedding strategy
• API design and backend integration at production scale
• Secure tool access patterns for agentic systems: you know where LLM reasoning ends and deterministic enforcement must begin, and you have built the boundary between them
• Experience implementing guardrails: input validation, output filtering, and execution-layer prompt injection defence
• CI/CD for agentic systems: you have implemented progressive delivery pipelines for agents, including instrumentation of tool invocations and decision points, staging with regression benchmarks, and canary deployment to detect behavioural drift before full rollout

 Strong Advantage

• Experience in regulated financial services, insurance, or healthcare environments
• Familiarity with graph-based agentic orchestration frameworks (LangGraph or equivalent), particularly durable execution and human-in-the-loop checkpointing in regulated environments
• Familiarity with Azure AI tooling and services
• MLOps practices: monitoring, observability, cost management for inference workloads
• CRM and enterprise system integration

Educational Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related field
• OR equivalent practical industry experience building and deploying production-grade AI systems