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AI Enterprise Architect
Design and lead end-to-end AI infrastructure, from GPU clusters and high-performance networking to MLOps and governance frameworks, ensuring scalable, compliant, and production-ready AI systems.
Senior AI Engineer
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Senior Security Engineer, AI & DevSecOps
Designs and secures AI platforms, AI APIs, and AI-enabled applications while integrating security into CI/CD pipelines and cloud-native environments across Azure, AWS, and GCP.
Machine Learning Platform Engineer
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
LLM Application Engineer
Build and ship LLM-powered AI agent workflows that orchestrate multi-step tasks, integrate tools, and turn probabilistic model outputs into reliable user experiences.
LLM Application Engineer (Remote)
Build and ship LLM-powered AI agent workflows that orchestrate multi-step reasoning, tool use, and real-world task completion with high reliability and user impact.
Senior Full-Stack Developer AI Engineer Data Scientist (mwd)
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Senior AI & Solutions Engineer
Build AI-powered CRM demos and prototypes using LLMs, Salesforce, and full-stack engineering to solve enterprise challenges and showcase solutions to clients.
Senior AI Developer for LLM Features
Senior role building LLM features and retrieval-augmented generation systems to enhance property management solutions using Python, TypeScript, and vector search.
Senior AI Platform & Data Engineer
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Remote AI/ML Engineer — LLMs & Generative AI
Build and deploy agentic workflows and predictive models for B2B SaaS using LLMs, vector databases, and RAG pipelines with LangChain, LlamaIndex, and OpenAI/Anthropic APIs.
AI LLM Engineer - Autonomous Network
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Generative AI Engineer
Design and deploy enterprise-grade generative AI systems using RAG, LLMs, and vector databases for a banking-focused agency.
AI Engineer / Developer
Build and deploy AI-enabled applications, including LLMs and retrieval systems, within secure environments using Python, PyTorch/TensorFlow, and containerisation tools.
Software Engineer (AI)
Design and build AI-enabled software systems for secure, cloud-native platforms in the UK National Security sector, integrating ML models and scalable backend services.
Intermediate to senior ai engineer - johannesburg - up to r1.2mil per annum
Builds and deploys AI-powered applications and agentic systems using LLMs, vector databases, and orchestration frameworks like LangChain, then scales them into production.
Senior Backend Data Engineer
Build and maintain scalable data pipelines and backend systems to power AI/ML features for a mental-health platform, ensuring reliable, high-performance data infrastructure for clinicians.
Jr. Al ML Engineer
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
AI Software Engineer
Build and deploy AI systems, including LLM-based agents and retrieval workflows, using Python and cloud-native stacks to power healthcare products and enterprise solutions.
AI Solution Architect
Designs enterprise-scale AI architectures for healthcare, including generative AI apps, agentic systems, and LLM-powered workflows, while ensuring security, compliance, and cloud-native integration.