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Builds and deploys generative-AI applications for financial clients using Python, LLMs, and Google Cloud services in a hybrid consulting role.
Principal AI Data Architect at Motorola Solutions in Kraków designs and governs enterprise data infrastructure to make structured and unstructured data trustworthy and AI-ready, using standards, contracts, and Airflow-centric orchestration.
Build and optimize the backend infrastructure powering AI agents at Binance, including intent routing, tool orchestration, and evaluation systems for production-scale LLM applications.
Build and deploy scalable AI/ML systems, including LLM-powered RAG pipelines and agentic workflows, from experimentation to production while optimizing for performance and cost.
Build and deploy AI systems that analyze millions of security events per second to detect and prioritize threats using retrieval, ranking, and anomaly detection at enterprise scale.
Build AI-enabled full-stack applications using React, Node.js, Python and LLM APIs to automate contracting and revenue workflows within Amgen’s healthcare platforms.
Build and deploy AI models for creative asset generation and analysis using LLMs, multi-modal AI, and RAG systems in a media/advertising agency.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Lead a team to design, prototype, and deploy AI/ML, generative AI, and cloud-native solutions for healthcare use cases on AWS and GCP, ensuring compliance and scalability.
Lead the build-out of Brown-Forman’s cloud data lakehouse and AI-ready pipelines, partnering with business teams to turn analytics and LLM use-cases into production-grade solutions.
Build and maintain scalable banking systems using C#, .NET Core, and cloud tech, while integrating AI features like summarization and Q&A into applications.
Build and deploy AI agents and retrieval systems on Azure, using AI Foundry, RAG, vector search, and Langfuse for evaluation and observability in a financial-data setting.
Build and deploy production-grade AI and Generative AI solutions in the cloud using LLMs, RAG pipelines, and Agentic AI workflows for global enterprise clients.
Lead AI delivery for an insurance firm, overseeing GenAI/RAG projects, MLOps, and Python-based model development while coordinating cross-functional teams to deploy production-ready solutions.
Job Family : Data Science & Analysis, Data Science Consulting Travel Required : None Clearance Required : None Guidehouse is seeking a Databricks Data Scientist to join our AI & Data team to support client…
We want to welcome a marketing professional with a technical background to our product marketing team. In this role, you will guide data scientists, AI engineers and NLP engineers toward understanding the value of…
Principal Software Engineer building AI-powered employee productivity tools using React/Next.js, TypeScript, and cloud-native backends, integrating HRIS and embedding LLM features.
Build and debug full-stack AI apps using Python, FastAPI, and ReactJS, focusing on LLM-powered agents, RAG pipelines, and responsive UIs.
We're building a network of LLM Engineers who can design, build, and integrate practical AI features into existing products. We're looking for people to collaborate with on a freelance basis - part-time or…
Applied AI Engineer Location: Paris, IDF, fr Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are…
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