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Build and maintain the backend infrastructure for AI-driven products, agent orchestration, and agentic workflows using Node.js, Python, and SQL.
Designs and builds enterprise-grade AI systems, including conversational AI, RAG platforms, and AI agents, using modern cloud and AI technologies.
Designs and builds enterprise AI backends and LLM-powered workflows, working with cloud services and AI agents to deliver production-ready solutions.
Build and maintain backend services for an AI-powered platform that integrates LLMs and retrieval pipelines with third-party business systems, ensuring reliable data sync and structured outputs.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
Build full-stack web apps that blend Web3/crypto (smart contracts, dApps) with AI features, using React/Next.js, Node.js/Python, and libraries like Ethers.js and LangChain.
Build full-stack web apps integrating Web3/crypto and AI, using React/Next.js, Node.js/Python, and smart contracts; connect UIs to blockchain protocols and LLM APIs.
Builds Python-based backend APIs and microservices on AWS, integrating generative AI models (e.g., OpenAI, Amazon Bedrock) to modernize financial systems and automate workflows.
Builds and deploys production-grade AI systems—including multi-agent workflows and copilots—using Microsoft AI tools to automate decisions and improve efficiency in business operations.
Senior AI and Data Cloud Architect designs enterprise-grade AI, analytics, and cloud solutions on Azure, AWS, and GCP, guiding clients through cloud transformation and AI adoption.
Design and optimize Retrieval-Augmented Generation platforms for enterprise AI, focusing on semantic search, vector databases, and scalable knowledge retrieval systems.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and intelligent agents with full-stack development in React, Python, and FastAPI.
The Manager: AI Architecture is responsible for designing, governing, and evolving the organization’s end-to-end Artificial Intelligence (AI) architecture. The role ensures AI solutions are scalable, secure, ethical,…
Design and deploy AI-powered products using LLM systems, RAG architectures, and model optimization while ensuring production readiness and security.
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.
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.
Senior data scientist builds and deploys ML models, graph analytics, and Gen AI solutions to detect fraud and extract insights from interconnected datasets using Python and cloud platforms.
Build and maintain custom software and AI agents for the CEO, integrating LLMs and automation into executive workflows and decision-support systems.
Senior AI engineer builds and scales Retrieval-Augmented Generation systems using Python, LangChain, and AWS AI services, while implementing MLOps practices for production ML.
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