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Senior engineer building AI-powered FinTech products: eKYC, fraud detection, and LLM chatbots on AWS Bedrock and serverless stacks.
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
Build and maintain the backend infrastructure for AI-driven products, agent orchestration, and agentic workflows using Node.js, Python, and SQL.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
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.
Build and integrate AI-powered code auditing systems and enterprise dashboards using Next.js, Node.js, and AWS, connecting GitHub repositories to AI engines.
Build and maintain AI-driven data pipelines and MLOps infrastructure in Python, leveraging vector databases and cloud platforms like AWS or Azure.
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.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Build and deploy AI models for content personalization, newsroom automation, and recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms.
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.
Build and maintain cloud infrastructure, CI/CD pipelines, and observability for enterprise AI solutions, ensuring secure, scalable deployments from proof of concept to production.
Build and deploy generative AI and ML solutions for financial services using Azure OpenAI, LangChain, and vector databases, integrating backend, frontend, and MLOps.
Lead the design and delivery of full-stack applications with embedded AI features, guiding teams to build scalable, secure solutions while integrating generative AI, LLMs and vector databases.
Build and maintain custom software and AI agents for the CEO, integrating LLMs and automation into executive workflows and decision-support systems.
Build and deliver AI-powered audio information tools for enterprise customers, integrating Speechify’s platform into their workflows and troubleshooting technical onboarding issues.
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