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Lead the design and standardization of AI/ML agent systems, memory architectures, and RAG pipelines for financial document processing, setting engineering best practices across teams.
Build and deploy AI agents and knowledge systems to accelerate drug delivery R&D at Eli Lilly, turning complex scientific data into actionable insights and automated workflows.
Principal Engineer builds and deploys GenAI systems that automate supply-chain workflows—copilots, RAG pipelines, and agentic tools—integrated with enterprise data and SAP platforms to cut cycle times and improve decisions.
Principal Engineer builds and deploys GenAI copilots and RAG pipelines to automate supply-chain workflows—procurement, planning, risk, quality—using Python, LangChain, vector DBs, and enterprise integrations.
Senior Solution Engineer at Snowflake who designs and demonstrates AI/ML solutions, including LLMs and RAG, to enterprise customers and partners to drive large deal closures.
Builds and maintains AI-ready data pipelines, retrieval systems, and semantic layers for enterprise analytics and generative AI applications (e.g., RAG, vector stores) using Python, SQL, dbt, Snowflake, and cloud tools in a federated financial services environment.
Build and scale AI-driven health services (agents, RAG pipelines, LLMs) on a distributed stack (Node.js, Python, Java) to power Conexa’s telehealth platform in Latin America.
Design and build agent memory, reasoning, and reusable skills for an AI-agent workforce platform, focusing on retrieval, curation, and evaluation without model retraining.
Senior Software Engineer - Platform Engineering About Santé Santé is the #1 operating system for local retailers. Our platform runs the entire store — point of sale, integrated payments, eCommerce, inventory…
Headquarters: Türkiye, Remote The salary range for this role is $3,333 - $6,000 per month (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping…
Build and deploy generative AI systems, including RAG pipelines and agentic AI, using Python, AWS, and LLM APIs for enterprise clients.
Builds and operates an enterprise AI platform for LLMs, RAG systems, and MCP servers, enabling developers and data scientists to safely deploy and consume AI services in a property & casualty insurance company.
Senior AI Engineer at Mastercard designs and builds enterprise-scale generative AI systems, multi-agent orchestration, and multimodal pipelines using LLMs, RAG, and agentic frameworks to drive data-driven business insights.
Build and deploy AI-powered financial services features like natural-language data transformations, integration suggestions, and data-quality detection using LLM pipelines, RAG, and agentic workflows.
Who we are: At Wagepoint, we're good people. It's easy to feel that way when you're surrounded by folks doing the best work of their careers, building great payroll software for small businesses across…
Builds and maintains an AI assistant's core engine using Python, RAG, and LLM orchestration to execute customer requests safely in production.
About the role We are looking for a passionate and forward-thinking Full Stack Software Engineer to help build the next generation of RetailAIM , our in-house field force automation platform.This role goes beyond…
Designs and builds AI-driven systems using large language models, multi-agent orchestration, and retrieval-augmented generation for production applications.
Purpose. Performance. People. Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for…
Designs and deploys enterprise-scale generative AI and agentic systems for Adobe’s clients, aligning architecture with business goals and governance while advising executives and technical teams.
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