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Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Builds and deploys LLM agents and RAG systems for a freight platform, including AI assistants for drivers and shippers, dispute resolution, and autonomous decision-making tools.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and operate an internal AI platform that automates developer workflows, deploys LLM tools, and integrates AWS Bedrock and agentic frameworks to accelerate quantum-computing tooling.
Builds cloud-based data pipelines and RAG architectures that power generative AI and large language models for a Polish AI team.
Designs scalable, secure cloud and data architectures for GenAI, LLMs, and AI-driven analytics on AWS, balancing governance, cost, and enterprise needs.
Lead a team of AI/ML scientists and engineers to build agentic workflows and reasoning engines for Pipedrive’s AI-native CRM, shipping production-grade models that drive customer value from structured and unstructured data.
Principal Data Scientist at Elastic to lead RAG and agentic AI evaluation, building quality layers and guiding model strategies for a conversational platform.
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 deploy enterprise LLM features, agentic workflows, and RAG systems within Workday’s product ecosystem using data engineering stacks.
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.
Designs, builds, and deploys AI/ML models for industrial use cases like predictive maintenance and computer vision, using Python frameworks and cloud platforms.
Design and deploy AI, ML, and computer vision systems to automate quality control and process optimization in automotive manufacturing, using Python, GCP, and generative AI tools.
Build production ML systems to predict cybersecurity threats and prioritize risks using predictive models, large datasets, and MLOps pipelines.
Senior AI Engineer designs and deploys production AI systems and ML models to solve financial and operational challenges using Python, AWS, and GenAI tools.
Own the AI platform that powers Sitecore’s agentic experiences, defining the MCP layer, context services, and headless APIs that enable scalable, enterprise-grade AI features.
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