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Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Design and operate PostgreSQL clusters and vector search systems to power Kraken’s crypto exchange and AI features, focusing on performance, reliability, and automation.
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
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.
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 deploy generative AI and ML solutions for financial services using Azure OpenAI, LangChain, and vector databases, integrating backend, frontend, and MLOps.
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.
Build AI-powered web apps with React/Next.js and Python backends, integrating LLMs and RAG pipelines to automate design workflows and business operations.
Build and maintain scalable, PCI-compliant payment systems, integrating AI/ML for fraud detection and performance optimization while leading backend services and mentoring junior engineers.
AI Data Engineer (Data & Analytics) Data and Analytics at COMPLY: COMPLY is the worlds leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet…
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Designs and deploys LLM-powered agents and copilots, builds RAG pipelines, and integrates vector databases for client workflows.
Builds and scales cloud-native backend services in Python/Node.js, using microservices, Docker, Kubernetes, and Azure, with a focus on security and performance.
Build and optimize GenAI systems using LLMs, prompt engineering, RAG, and agent workflows with frameworks like LangChain. Integrate APIs, vector databases, and external tools for scalable AI solutions.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
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