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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 AI models (LLMs, agentic AI) using Azure to extract insights from insurance data, collaborating with engineering teams to create data products that power smarter business decisions.
Build and deploy AI agents that automate silicon IP design using RAG, agentic workflows, and EDA tool integration to accelerate spec-to-netlist pipelines.
Build production-grade AI agent systems that power marketing content workflows, focusing on agent loops, retrieval, evaluation, and cost/latency optimization using TypeScript and Python.
Expert, AI Engineer At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy…
Builds and deploys production-grade AI agents and RAG pipelines on Vertex AI, Claude, and Gemini for healthcare workflows, integrating with Salesforce, MuleSoft, and Java systems.
Build and deploy LLM-powered AI agents and ML models using PyTorch/TensorFlow to enhance a mobile POS platform for Indian businesses.
Builds and maintains AI-ready data pipelines and platforms for an edtech company, enabling AI services like personalized recommendations and AI tutors.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.
Build and deploy autonomous AI agents and RAG pipelines to automate safety training analytics and compliance workflows, integrating with enterprise systems like CRM and LMS.
Embed within client teams to design and deploy agentic AI workflows and autonomous digital workers, bridging enterprise systems with frontier LLMs and orchestration frameworks.
Design and build scalable AI platforms for healthcare applications, focusing on LLM-based systems, RAG, and multi-agent orchestration while ensuring compliance with HIPAA and clinical workflows.
Build AI-driven features and autonomous agents for Cisco’s Partner Hub, integrating LLMs and agentic frameworks to automate workflows and deliver predictive insights for partners.
Senior AI engineer building generative/LLM and agentic systems for federal clients, using TypeScript, Python, and cloud-native tooling to deliver secure, mission-critical AI solutions.
Design and deploy AI systems using LLMs, generative AI, and agentic frameworks to build autonomous decision-making tools and retrieval-augmented pipelines in cloud environments.
Leads AI-driven product strategy for autonomous agents, LLMs, and data monetization, collaborating with engineering and business teams to build B2B/B2B2C solutions in finance and enterprise domains.
Build full-stack AI systems and agent integrations for J.D. Power’s Innovation Crew, shipping backend services, APIs, and frontend components that turn AI architectures into production-ready prototypes.
Define and evolves the tech vision for Itaú’s Agro Varejo community, leading AI-first platform architecture, cloud-native modernization, and DevSecOps practices to build scalable, resilient systems.
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