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Design and lead enterprise-scale AI and GenAI systems, including LLM apps, RAG pipelines, and agentic workflows using Python, LangChain, and cloud-native tech.
Build and deploy ML and generative AI models for manufacturing use cases like predictive maintenance and quality control, working with Python, PyTorch, and RAG pipelines in a hybrid Limerick role.
Build and deploy AI-driven cybersecurity platforms, including agentic workflows and RAG systems, to automate threat detection and response using cloud-native tools and AI governance frameworks.
Build and optimize large-scale data pipelines and integrate LLMs into production systems for Docusign’s Intelligent Agreement Management platform.
Build and deploy AI-first contract intelligence features using LLMs, RAG, and agentic workflows to automate document review and accelerate deal-making for enterprise customers.
Senior AI Engineer designs and deploys production AI systems and ML models to solve financial and operational challenges using Python, AWS, and GenAI tools.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and enhance AI-powered financial software using Python, FastAPI, React, and AWS, including agentic workflows and LLM integrations for treasury and trade operations.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Lead the design and deployment of advanced LLM-driven agentic AI systems for enterprise workflows, setting technical standards and mentoring teams to build robust, autonomous AI co-workers at scale.
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Design and lead cloud-native AI architectures, integrating agentic systems with tools like LangChain and RAG to build scalable enterprise platforms.
Designs and deploys end-to-end AI workflows and integrates agentic AI into enterprise systems using Python, SQL, LangChain, APIs, and cloud infrastructure.
Build AI-driven cybersecurity tools using LLMs and Python to automate threat detection, vulnerability analysis, and compliance workflows for connected devices.
Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Design and deploy AI agents and workflow automations that integrate with enterprise systems, using Python, JavaScript/TypeScript, and frameworks like LangChain or Azure OpenAI.
Lead AI platform engineering to build and scale LLM-driven SRE agents and chatbots that improve driver experiences and marketplace efficiency using Python, Go, LangChain, and cloud infra.
Build AI-driven healthcare web apps using Vue.js, TypeScript/Python, and agentic orchestration systems to streamline hospital workflows and improve clinical data efficiency.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
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