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Job Summary: We are looking for a Senior AI Engineer to design and build production-grade Agentic AI and LLM-powered systems . The ideal candidate is a strong Python engineer with hands-on experience in RAG,…
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Data Scientist – Snowflake + Agentic AI / Cortex AI Primary Skills We are looking for an experienced Data Scientist with strong expertise in Snowflake and hands-on exposure to Agentic AI / Snowflake Cortex AI to join…
Build and tune retrieval pipelines for semantic matching in government procurement, focusing on RAG and relevance evaluation rather than chat interfaces.
Senior Data Scientist at Walmart Canada builds ML models and analyzes customer behavior to improve retail operations and decision-making using Python, SQL, and generative AI.
Build AI agents and tools using LLMs, prompt engineering, and RAG to create applications that enhance critical thinking and societal impact.
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Build AI-driven agentic workflows and data products to automate logistics processes using LLMs, RAG, and Azure cloud services.
Build and deploy ML models and Generative AI solutions to solve business problems, using Python, PyTorch, and cloud tools in a product-focused team.
Build and deploy ML/AI models (traditional and generative) in Python/R/SQL, lead end-to-end projects, and mentor teams to drive business outcomes.
Design and build secure, scalable .NET/React/Next.js apps on Azure, integrating AI agents (Claude Code, Codex) and RAG workflows for enterprise payroll/tax systems.
Designs and deploys AI-powered automations to replace manual workflows across Later’s teams, using LLMs, APIs, and scripting to deliver measurable business impact.
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
J.P. Morgan is seeking a talented candidate as a Solutions Enablement & Client Enablement Lead in the Commercial & Investment Bank (CIB). This Vice President role sits within the AI Enablement team within the…
Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Builds and maintains AI-powered backend services for a large bank, integrating LLMs, RAG, and agentic frameworks with enterprise systems using Java, Python, and cloud-native tools.
Build and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Build and deploy production-grade AI and GenAI solutions for banking products, using Python, TensorFlow/PyTorch, and cloud-native tooling.
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it…
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