[Hiring] AI Engineer @E-Merge IT Recruitment

Role Description

Ready to take your AI engineering expertise to the next level? This is an opportunity to join a technically driven team building and deploying production-grade AI and machine learning solutions, not simply experimenting with the latest models. You’ll have the opportunity to:

• Fine-tune models such as Llama, Mistral, and Qwen.
• Build self-hosted inference environments.
• Optimise AI systems for performance and cost.
• Develop scalable machine learning solutions using modern cloud, containerisation, and MLOps practices.

Qualifications

• 3+ years of experience building and shipping machine learning or AI-powered systems in production.
• 7 plus years’ commercial development experience.
• Strong Python skills, with hands-on experience using frameworks such as PyTorch, TensorFlow, or similar.
• Practical experience with large language models - prompting, fine-tuning, RAG, or agent frameworks (e.g., LangChain, LlamaIndex, or custom implementations).
• Hands-on experience training and fine-tuning open-source models (e.g., Llama, Mistral, Qwen) using full fine-tuning or parameter-efficient methods (LoRA/QLoRA) and deploying them on your own infrastructure rather than relying solely on hosted APIs.
• Experience standing up self-hosted inference serving on your own infra (e.g., vLLM, TGI, Triton, Ray Serve), including GPU provisioning, batching, and cost/latency optimization.
• Solid understanding of ML fundamentals: model evaluation, overfitting, data leakage, and experimentation methodology.
• Experience with vector databases and embedding-based retrieval (e.g., Pinecone, Weaviate, pgvector, FAISS).
• Comfort working with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes), including GPU-backed compute.
• Familiarity with MLOps practices: model versioning, CI/CD for ML, monitoring, and rollback strategies for both hosted and self-hosted models.
• Strong software engineering fundamentals: clean code, testing, code review, and API design.
• Proficiency working with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate development, while critically reviewing and validating AI-generated code.

Requirements

• Experience with model quantization, distillation, or optimization techniques (e.g., GPTQ, AWQ, ONNX) for efficient self-hosted inference.
• Background in NLP, computer vision, or recommendation systems.
• Experience with streaming data pipelines (Kafka, Spark) or feature stores.
• Contributions to open-source ML/AI tooling.
• Prior experience in a startup or fast-growth environment.

Benefits

• Permanent remote position.
• Salary of R1000k per annum, negotiable based on experience and ability.

Contact

Contact Garth on [email protected] or call 011 463 3633 to discuss this and other opportunities.

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