AI Engineer

TalentLyft; Randburg; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

TalentLyft is seeking an AI Consultant to design and build intelligent agent automations and enterprise integrations across cloud platforms. You will work at the intersection of Agentic AI, cloud engineering and DevOps to transform business processes into automated digital solutions.

You will design AI agents, connect them to AWS infrastructure, and improve performance, latency and costs while collaborating with stakeholders to deliver measurable business value.

Qualifications

• Experience designing and building AI agents and integrations.
• Ability to connect AI workloads to cloud platforms and enterprise systems.
• Proficiency with AWS infrastructure and DevOps practices.

Responsibilities

• Design, build and maintain intelligent AI agent automations and enterprise integrations.
• Build and evolve AI solutions using AWS Bedrock, Agent Core, RAG, vector search and MCP-based integrations.
• Own interactions with enterprise systems and data across AWS services, Terraform/OpenTofu, CI/CD pipelines, Docker/Kubernetes.

Skills

AI concepts

Cloud engineering

DevOps

Software development

Automation

Problem solving

Stakeholder communication

Tools

AWS Bedrock

Agent Core

RAG architectures

Vector search

Terraform

OpenTofu

GitHub Actions

GitLab

Docker

Kubernetes

EKS

Python

Node.js

React

TypeScript

OpenAPI

Job description

AI CONSULTANT

Agentic AI | Cloud | Automation | Telecommunications

What if the technology you build today could completely change how a business operates tomorrow?

If you are the person who sees a repetitive process and immediately thinks, “Why are we still doing this manually?”, this role is for you.

We are looking for a technology-driven AI Consultant who is passionate about turning emerging AI capabilities into real, working solutions.

This is not a role for someone who simply wants to talk about AI.

It is for someone who wants to build it, integrate it, automate it, test it, improve it and see it make a measurable difference.

You will work at the intersection of Agentic AI, cloud engineering, DevOps, software development and telecommunications, helping organisations move from traditional processes to intelligent, automated digital solutions.

THIS IS WHERE TECHNOLOGY MEETS POSSIBILITY

Imagine taking a business process that currently requires people to investigate cases, search through information, make decisions and perform repetitive actions, and designing an intelligent agent that can do much of that work itself.

That is the kind of thinking we are looking for.

You will design and build AI agents, integrations and automations, connect them to cloud platforms and enterprise systems, and continuously improve how they perform.

You will have the opportunity to work across the technology stack, from AWS infrastructure and DevOps to AI agent logic, APIs, data, applications and automation.

WHAT YOU WILL BE DOING

• Design, build and maintain intelligent AI agent automations and enterprise integrations
• Build and evolve agentic AI solutions using AWS Bedrock, Agent Core, RAG architectures, vector search and MCP-based integrations
• Design solutions that allow AI agents to interact with enterprise systems, tools and data
• Own and work across AWS infrastructure including Lambda, ECS, EKS, DynamoDB, Aurora PostgreSQL, VPCs, CloudWatch, Athena and SQS
• Build and manage infrastructure as code using Terraform or OpenTofu
• Develop CI/CD and GitOps pipelines using tools such as GitHub Actions or GitLab
• Work with Docker and Kubernetes / EKS
• Develop supporting applications, integrations and internal tooling using Python, Node.js, React and TypeScript / JavaScript
• Monitor and optimise AI solutions for accuracy, latency, token usage, cost and overall performance
• Work directly with technical and business stakeholders to identify opportunities where AI and automation can create meaningful business value
• Translate business problems into practical technology solutions
• Maintain strong engineering standards around code reviews, documentation, APIs, architecture and security
• Understand when automation can move fast and when additional controls are required because the impact of an incorrect decision is high

THE TECHNOLOGY YOU WILL GET YOUR HANDS DIRTY WITH

AI & Agentic Systems

AWS Bedrock | Agent Core | RAG | Vector Search | PGVector | MCP | Agent Frameworks | Multi Agent Architectures | Orchestration | Context Engineering | Tool Calling

Cloud

AWS | Lambda | DynamoDB | Aurora PostgreSQL | ECR | ECS | EKS | VPC | NAT | IGW | Subnets | CloudWatch | Athena | SQS

DevOps

Terraform | OpenTofu | Kubernetes | GitOps | GitHub Actions | GitLab | Docker | CI/CD

Development

Python | Node.js | React | TypeScript | JavaScript | Bash | OpenAPI

WHO WE ARE LOOKING FOR

You are likely to thrive in this role if you:

• Are genuinely fascinated by what technology can do
• Constantly look for ways to automate, simplify and improve
• Enjoy experimenting with new AI technologies rather than waiting for someone else to tell you how they work
• Have strong cloud and DevOps engineering foundations
• Understand that successful AI solutions require more than just an impressive model, they require good architecture, integrations, data, security and engineering discipline
• Can move comfortably between deep technical work and conversations with business stakeholders
• Enjoy owning a problem from “How could we do this?” through to “It is now running in production.”
• Are comfortable working independently and taking ownership
• Can explain complex technology to people who do not live and breathe technology
• Are pragmatic about risk while still being excited about innovation

YOUR TELECOMMUNICATIONS ADVANTAGE

Experience within the telecommunications industry will be highly advantageous.

An understanding of complex technology environments, enterprise systems, network operations or NOC environments will help you understand the types of operational challenges that AI and automation can solve.

But above all, we are looking for someone with the curiosity and drive to keep pushing technology forward.

WHY THIS ROLE?

Because you will not simply be maintaining yesterday's technology.

You will be helping build tomorrow's way of working.

You will have the opportunity to work with technologies that are changing how organisations operate, while solving real business problems through AI, automation, cloud and software engineering.

If you are someone who gets excited by a new AI capability, wants to understand how it works, and immediately starts thinking about “What could I build with this?”

We want to hear from you.

Bring your technical curiosity.

Bring your problem-solving mindset.

Bring your obsession with automation.

Let's build what comes next.