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Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
Designs and builds an AI-first platform for IP intelligence, focusing on modular, explainable systems for patent analysis and freedom-to-operate workflows using Azure, Databricks, and modern frontend stacks.
About the role The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design…
Build and deploy production-grade AI/ML and GenAI models for media analytics, personalization, and content intelligence at a global entertainment company.
Build OSS intelligence and AIOps for autonomous network operations, including alarm correlation, fault management, and AI-assisted assurance across telecom domains.
Build and maintain AI-powered clinical tools like voice transcription and note generation, integrating LLMs and vector search while ensuring reliability, security, and observability for 28,000+ healthcare practitioners.
Lead the design and delivery of an AI-native data platform, building LLM agents, semantic search, and anomaly detection from scratch while setting technical standards for the team.
Senior Data Scientist builds ML/NLP models and LLM/RAG systems to extract insights from Medicaid claims and policy data, improving program oversight and health outcomes.
Build and deploy AI/ML prototypes and integrations to automate workflows for finance and shared-service teams using Python, LLMs, and cloud APIs.
Build and operate cloud-native GenAI infrastructure for PayPay Card, enabling teams to deploy and run RAG systems, agents, and AI workloads reliably and cost-effectively on AWS.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants, integrating LLMs and optimizing performance under senior guidance.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Senior Software Engineer building enterprise-grade AI solutions like conversational AI, RAG platforms, and AI agents for banking and healthcare clients using Python/Java/Node.js, React/Vue.js, and cloud platforms.
Designs and builds enterprise data pipelines using Microsoft Fabric, Azure Synapse, and Spark to power analytics and AI workloads in a cloud data platform.
Build and deploy AI-powered agentic systems, copilots, and RAG solutions to automate processes and improve decision-making for Europe’s fiber-optic network rollout.
Build full-stack .NET/React apps and integrate production-grade AI features like LLM APIs, RAG, and vector search into B2B products.
Leads enterprise metadata baselining and data catalog operationalization, configuring platforms to improve data discoverability, governance workflows, lineage, and semantic search.
Builds production-ready Generative AI and Agentic AI apps on Azure AI Foundry, using RAG, knowledge graphs, embeddings, and agentic workflows to solve enterprise problems.
Build and deploy production-grade GenAI multi-agent systems, fine-tune SLMs, and optimize RAG pipelines for a life-sciences supply-chain platform.
Design and lead enterprise-scale Azure cloud-native apps and AI integrations for healthcare platforms, including GenAI, microservices, and API-first architectures.
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