AI Engineers

Job description

Badger SA | George, Western Cape

AI Engineers (low-code)
Junior | Mid | Senior

 At Badger SA, we’re building intelligent agents that give customers a soft landing and give our teams their time back.

We’re looking for AI Engineers who can take messy, real-world processes and turn them into simple, reliable automation. Not demos. Not “cool prototypes.” production systems that people trust.

You won’t just configure bots.

You’ll design the conversations, wire up the workflows, connect the systems, and keep the experience true to the Badger brand.

If you live at the intersection of Generative AI and operational excellence, and you care about craftsmanship, keep reading.

What you’ll be doing

This role sits across junior, mid and senior levels. The scope grows with you.

Design and deploy intelligent agents

• Configure and deploy conversational AI + automated agents in Microsoft Copilot Studio.
• Turn real business processes into clean workflow logic that measurably reduces effort and cycle time.
• Make every interaction feel like Badger: accurate, fast, and on-brand.

Connect the business end-to-end

• Integrate agents with channels like WhatsApp and internal tools via standard/custom connectors.
• Build secure connections to CRM, portals, and core operational systems.
• Automate customer engagement tasks so data moves correctly and securely, without manual handoffs.

Keep production healthy

• Monitor performance using telemetry and feedback; continuously improve accuracy and customer satisfaction.
• Apply ALM best practices: environments, versioning, release discipline, rollback plans.
• Diagnose and fix logic/integration issues fast; evaluate platform updates that actually matter.

Be the translator and multiplier

• Partner with business leaders to map goals - workflows - measurable outcomes.
• Explain what you built in plain language: what it does, what it doesn’t, and how to use it.
• Create lightweight documentation (logic maps, “how-to” guides) and enable teams to adopt what you ship.

What we’re looking for (must-haves)

• Strong hands-on experience in the Microsoft stack: Copilot Studio, Power Automate, SharePoint, Microsoft Forms.
• Proven integration work with CRMs (e.g., HubSpot, Salesforce) and modern contact-centre platforms (e.g. ConnexAI).
• Ability to design complex logic for messaging and orchestration (e.g. WhatsApp/Messenger + internal workflows).
• Comfortable with APIs and testing integrations through connectors (you don’t need to be a backend engineer, but you can think like one).
• Can translate business requirements into logic—and communicate tradeoffs to non-technical stakeholders.
• Governance mindset: working knowledge of POPIA/GDPR, privacy, and ethical AI basics.
• Comfortable in Agile: iterate, ship, learn, improve.

How we work

• Integrity: You tell the truth, you fix issues, you don’t ship for the sake of shipping.
• Curiosity: You keep learning, and you enjoy solving hard operational problems.
• Collaboration: You bring people with you, no heroics, no silos.
• Resilience: You stay calm when production gets tough.
• Customer-first: Every solution should make life easier and create a real soft landing.

Experience levels

Senior:

Minimum qualifications

• Minimum: Matric and 5+ years automation/agent delivery (low-code acceptable) with enterprise integrations
• Preferred: Degree/diploma + advanced platform + governance exposure (POPIA/GDPR)

Mid:

Minimum qualifications

• Minimum: Matric + either

• 3 - 4 years of power platform delivery, or

• Relevant diploma/degree + 2 years delivery

• Preferred: PL-200 + Azure fundamentals (AZ-900) + proven CRM/call-centre integrations

Junior:

Minimum qualifications

• Minimum: Matric and 1 of:

• Power platform certificate (PL-900 or PL-100/PL-200), or

• Portfolio showing 2 automations/agents (screenshots + logic map + outcomes)

• Preferred: Diploma (IT/IS) or equivalent experience in ops automation

Nice-to-haves

• Basic Python scripting or expressions inside low-code environments.
• Understanding of RAG and strong prompt patterns (grounding, constraints, evaluation).
• API validation with Postman.
• Exposure to Azure AI Foundry and/or MLOps concepts for more advanced deployments.

Bottom line

This is a production role. You’ll build low-code AI systems that customers and teams rely on every day; simple, trustworthy, and unmistakably Badger.

Ready to engineer the future with us?
Apply and show us what you’ve built.

Posted on 13 Apr 11:51, Closing date 12 May