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Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
XTN-C475548 | AI + DATA ENGINEER
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
AI Engineer (LLM & Data Engineering)
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Senior Backend Engineer (Python) | WFH, Midshift
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
Senior AI Engineer
Senior AI Engineer builds production-grade GenAI systems (RAG, agents, classification) for a bank using LLMs, prompt engineering, and vector search, while ensuring reliability, security, and governance.
AI Engineer (GenAI / RAG / LangGraph / Python)
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Security Engineer – AI (Offensive AI Security and Red Teaming)
Design and implement AI security controls, red-team AI systems (LLMs, agents, RAG), and build AI-specific threat detection for a large African bank.
Security Engineer – AI (Offensive AI Security and Red Teaming)
Design and implement AI security controls, threat detection, and red-teaming for Absa’s AI/ML systems, LLMs, and agentic workflows to protect against adversarial attacks and ensure secure AI innovation.
Ai engineer
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Security Engineer – AI (Offensive AI Security and Red Teaming)
Protect Absa’s AI systems by designing secure AI architectures, detecting AI-specific threats, and running offensive security tests like prompt injection and agent manipulation.
Data scientist (generative ai experience)
Build and deploy generative AI models (text, image, video) using transformers, diffusion models, and GANs; optimize for production and integrate into products.
Machine Learning Engineer - AI Team
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
AI/ML Engineer
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Data Scientist – MLOps
Build, deploy, and monitor ML/AI models and GenAI systems using Python, TensorFlow, PyTorch, and MLOps tooling like MLflow and Kubernetes.
Senior Software Engineer (AI/ML)
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
AI/ML Engineer
Build and deploy multi-agent AI systems using LLM APIs (Bedrock, OpenAI, Mistral), LangGraph/LangChain, and AWS serverless tools; focus on execution, not design.
AI/ML Developer (LLMs, NLP, and AI Applications)
Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
AI/ML Engineer
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
AI/ML Engineer
Build and deploy multi-agent AI systems using LLM APIs, agent frameworks, and AWS services, focusing on execution and integration rather than design.
Senior Software Engineer
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to improve search, recommendations, and automation.