LLM Engineer – Conversational AI & Voice Agents

e-Merge IT Recruitment; Sandton; On-site; ZAR 720,000 - 880,000; Full time

Job summary

e-Merge IT Recruitment in Sandton is seeking an Intermediate AI Engineer to join a specialist technology environment focused on building and improving AI-driven conversational systems. You will work hands-on with LLMs, voice agents, automated testing, AI coding tools, and modern software development practices.

The role emphasizes prompt engineering, tool integration, and QA workflows within a collaborative team.

Qualifications

• 4 to 6 years software engineering (or equivalent applied experience).
• Solid Python; comfortable with APIs, SQL, and modern git/CI workflows.
• Hands-on LLM application work (prompting, tool use, agents - production preferred).
• Willingness to learn Azure Functions, messaging, blob storage, and SQL in a production environment.

Responsibilities

• Implement prompt changes, tool handlers, and function/webhook logic for voice agents.
• Build or improve automated QA workers and analysis jobs (queues, artifacts, scoring ingest).
• Write and maintain unit/contract tests and scenario-based eval cases.
• Translate scorecard / conversation requirements into schemas and fixtures.
• Support post-call analytics tasks such as scoring result ingestion, data mapping, and output validation.
• Diagnose and fix production issues with logging/observability support.
• Support early email/WhatsApp bot flows under senior/lead direction.
• Use AI coding tools to accelerate learning and delivery.

Skills

Software engineering

Python

APIs

SQL

CI/CD

LLM applications

Tools

Cursor

Claude

Azure Functions

OpenAI SDKs

JSON schemas

Job description

e-Merge IT Recruitment in Sandton is seeking an Intermediate AI Engineer to join a specialist technology environment focused on building and improving AI-driven conversational systems. You will work hands-on with LLMs, voice agents, automated testing, AI coding tools, and modern software development practices.

The role emphasizes prompt engineering, tool integration, and QA workflows within a collaborative team.