AI/ ML Engineer

Job description

AI/ML Engineer

Softsure | George, Western Cape | In-Office

Put AI into production and not just prototypes.

We are not looking for someone to build demos, we are looking for someone who can ship AI into production and keep it running.

At Softsure, we process thousands of insurance claims, customer interactions, and transactions daily. AI isn’t a side project here, it’s how we scale, optimise, and improve real operations.

This role sits inside squad b (platform engineering) the team modernising a 15-year-old system into a modern, API-first, AI-enabled platform.

What you’ll do


You’ll design, build, and operationalise AI across the business:

• Define and implement an AI governance framework (approval, testing, monitoring, lifecycle management)
• Integrate Azure OpenAI / OpenAI APIs with proper guardrails (PII handling, audit logging, content filtering)
• Build and scale AI pipelines for claims processing (OCR, classification, entity extraction, validation)
• Establish prompt engineering standards and reusable prompt libraries
• Create evaluation frameworks to measure accuracy, latency, and cost
• Implement responsible AI practices aligned to regulatory requirements
• Optimise AI cost efficiency (token usage, caching, model selection)
• Support and enhance contact centre copilot solutions
• Roll out and manage GitHub Copilot across engineering teams
• Monitor model performance in production and proactively manage drift
• Engineering contribution (non-negotiable)
• Write and maintain production-grade Python code for ML pipelines
• Contribute to platform engineering and integration efforts
• Collaborate on API development and system integration
• Participate in code reviews, testing, and engineering standards
• Support modernisation of legacy systems where AI integrates into core workflows

What you bring

• 5+ years in software engineering, with 2+ years focused on AI/ML
• Proven experience deploying and maintaining AI/ML in production
• Hands-on experience with Azure OpenAI or OpenAI APIs
• Strong Python skills for building and maintaining ML pipelines
• Experience with document AI (OCR, NER, classification, form recognition)
• Understanding of LLM patterns (RAG, fine-tuning, embeddings, prompt engineering)
• Familiarity with vector databases and semantic search
• Strong engineering discipline: testing, monitoring, documentation, code quality

Education

• Degree or diploma in computer science, data science, artificial intelligence, software engineering, or a related technical field

Advantageous:

• Certifications in AI, machine learning, or cloud platforms (Azure preferred)
• Equivalent practical experience building real-world AI systems in production will be considered.

Nice to have

• Azure AI services (document intelligence, cognitive services)
• Experience in insurance or claims processing environments
• Exposure to AI safety and responsible AI practices
• Experience with LangChain, Semantic Kernel, or similar frameworks
• GitHub Copilot enterprise rollout experience

Why join Softsure

• Work on real AI problems, not experiments.
• Access to Azure Open AI and proper tooling to do it right
• Be part of a team modernising a live production system
• Direct impact on claims processing, fraud detection, and customer experience
• Leadership that understands AI needs structure, not hype

Location

George, Western Cape (in-office)
We believe meaningful engineering happens through close collaboration and shared ownership.


Final word

This role is for someone who, ships AI that works in the real world and understands that production > prototypes. Someone who cares about performance, cost, and reliability

If you’ve only built models then sadly, this isn’t for you.
If you’ve run them in production THEN we should talk.

Posted on 18 Mar 15:24, Closing date 16 Apr