Badger Holdings Engineering Jobs in Western Cape
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Are you passionate about cutting-edge AI? Do you dream of building systems that think, learn, and engage like humans? Badger Holdings is on a bold digital transformation journey, and we’re looking for an exceptional ML Engineer to lead the charge in Conversational AI and AI-driven automation.
You’ll drive innovation in customer engagement and internal process automation, delivering intelligent, scalable, and ethically sound AI systems that unlock real organisational capacity.
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Core Purpose
Design, build, and continuously enhance conversational AI systems and automation agents that:
- Align with strategic business goals
- Improve customer and user experiences
- Streamline operations and workflows
- Deliver measurable efficiency and capacity gains
Key Responsibilities
Conversational AI & Automation Development
- Design and maintain scalable chatbots and AI workflow agents
- Leverage NLP to drive natural, effective conversations
- Build and iterate on AI solutions that automate internal processes
Integration & Operational Efficiency
- Seamlessly connect AI tools with CRM platforms (e.g., HubSpot, Salesforce), messaging systems (e.g., WhatsApp via Infobip/Clickatell), and backend workflows
- Enable automation across self-service portals, Microsoft Copilot, and internal ops systems
Innovation & Technical Support
- Drive technical exploration of new AI applications
- Provide AI integration support to teams across the business
- Resolve system issues quickly and effectively
Collaboration & Stakeholder Engagement
- Work closely with business units to define AI requirements
- Translate technical insights for non-technical audiences
- Facilitate adoption through workshops and training
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Governance & Compliance
- Ensure AI solutions comply with POPIA, GDPR, and internal standards
- Conduct regular audits to maintain fairness, transparency, and performance
Training & Documentation
- Produce clear technical and user-facing documentation
- Lead internal sessions to enhance AI literacy and adoption
Ideal Candidate Profile
Requirements
- Hands-on experience with production-level conversational AI and automation tools
- Expert in NLP, Python, and frameworks like GPT APIs, Rasa, Microsoft Bot Framework, Dialogflow
- Proven ability to integrate AI with messaging platforms, CRMs, and internal tools
- Experience deploying to cloud platforms (Azure, AWS, GCP)
- Familiar with APIs, MLOps, agile development, and backend integration
Personal Traits
- Transparent, ethical, and collaborative
- Technically curious and solutions-oriented
- Resilient in fast-paced environments
- Strong communicator across technical and non-technical audiences
- Aligned with Badger’s mission of “providing soft landings through tech-enabled, customer-centric experiences.”
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Core Competencies
- Conversational AI & Automation Expertise: Deep knowledge of NLP and AI agent architecture
- Integration & Automation Mastery: Skilled in APIs, backend integration, and workflow tools
- Innovative Thinking: Proven track record of building impactful AI solutions
- Stakeholder Communication: Able to influence and educate across business functions
- Governance Knowledge: Committed to ethical, compliant AI development
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