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ISTA Personnel Solutions

ISTA Personnel Solutions

AI Automation Engineer (LLMs & Agentic AI) - EST Working Hours

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Fully RemoteEngineeringSouth Africa

Salary

Not listed

Posted

2h ago

Source

himalayas

AI Automation EngineerLLM EngineeringAI Agent DevelopmentAI EngineeringSoftware Engineering

ISTA Personnel Solutions is a dynamic and fast-growing BPO company. We are not a recruitment agency. We partner with international U.S. clients and integrate our staff members directly within our clients' operations. We focus on long-term placements where you contribute directly to the client's success.

We have an exciting opportunity for an experienced AI Automation Engineer who enjoys building production-ready AI solutions using today's leading Large Language Models (LLMs), AI coding assistants and agent orchestration frameworks.

This is a hands-on engineering role where you will design, build, deploy and optimise AI-powered automations that solve real business problems. You will work with cutting-edge AI technologies to create intelligent workflows, multi-agent systems and integrations that drive operational efficiency.

Please note: This is not a traditional Machine Learning or AI Research role. You will not be training AI models. Instead, you will build production-ready AI automations using existing AI technologies and modern AI development tools.

Requirements

  • Working Hours: Monday – Friday from 14:30pm – 23:00pm South African time (subject to change with daylight savings)
  • Public Holidays: This role requires working on South African public holidays (compensation for working South African public holidays in accordance with the BCEA).
  • Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps upload and download, with wired Ethernet capability, is mandatory. Applicants without a fixed fibre line cannot be considered.
  • Power Backup: Reliable backup power is required to manage load shedding or power outages. Applicants without adequate backup power cannot be considered.
  • Work Environment: Fully remote (applicants must reside in South Africa)

Key Responsibilities

  • Design, build and deploy production-ready AI automations and intelligent workflows.
  • Develop and maintain multi-agent systems using modern AI orchestration frameworks.
  • Build LLM-powered business solutions using today's leading AI technologies.
  • Integrate AI agents with APIs, CRM platforms, messaging platforms, document generation tools and other business systems.
  • Deploy, monitor and maintain secure AI environments using Docker and modern deployment practices.
  • Debug, optimise and continuously improve AI workflows following deployment.
  • Work closely with business stakeholders to scope new automation opportunities and estimate technical effort.
  • Evaluate emerging AI technologies and recommend solutions that improve business efficiency.
  • Deliver scalable, reliable and maintainable AI solutions.

Minimum Requirements

  • 3–5 years' professional software engineering experience.
  • Demonstrated commercial experience designing, building and deploying production-ready AI automations, AI agent workflows or LLM-powered applications.
  • Strong practical experience using modern AI coding tools such as Claude Code, GitHub Copilot, Codex, Cursor AI or similar.
  • Experience working with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, n8n or similar.
  • Strong experience building and integrating REST APIs.
  • Experience working with Docker and modern deployment practices.
  • Strong debugging and analytical problem-solving skills.
  • Excellent communication skills with the ability to explain technical concepts clearly.
  • Comfortable working independently within a fast-paced environment.

Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 14 days of your application, please consider your application unsuccessful.

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

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