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What you can expect We're looking for an experienced AI Engineer passionate about building the foundational AI Services Platform that powers Zoom's intelligent capabilities. You'll work at the intersection of LLM…
Leads the design and deployment of enterprise-scale AI systems using LLMs, RAG pipelines, and agentic frameworks to automate business processes and improve decision-making in an insurance company.
Design and deploy AI-driven automation solutions (RPA, Python, APIs) for client operations, embedding with teams to scope and deliver production-ready workflows that cut costs and boost efficiency.
Quando você pensa em carreira, o que vem à sua mente? Propósito? Colaboração? Ser protagonista para fazer a diferença? No PagBank temos tudo isso e muito mais. 💛 Estamos em busca de pessoas que vistam a camisa com…
Designs and implements cloud-native AI/ML solutions on AWS, focusing on Bedrock, SageMaker, and Lambda with Python and Golang.
Build and scale Cogent’s data platform to ingest, normalize, and transform enterprise security data into a knowledge base for AI-driven cybersecurity workflows.
Senior Fullstack Engineer building AI-powered legal research tools with Python, Flask, and LLM/RAG systems for a global Legal Tech platform.
Build and maintain full-stack web apps using PHP (Laravel), Node.js, and React with TypeScript; integrate AI features and debug production systems.
Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment…
Design and own AI agents for enterprise data transformation, retrieval, and code generation using Python, vector databases, and cloud infrastructure.
Build and own core AI systems for an AI-powered CPG platform, focusing on document understanding, forecasting, and agentic workflows using LLMs and statistical models.
Machine Learning & Data Analytics (Build the Business Engine) Design, build, and validate predictive models end to end - for example churn prediction, Customer Lifetime Value (LTV), and demand or behaviour…
Design, build, and deploy AI/ML models and generative AI workflows, develop APIs and data pipelines, and operationalize solutions in cloud environments.
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Build and maintain full-stack web apps in TypeScript with Node.js backends and React frontends, integrating AI/LLM services and deploying on AWS for regulated industries like compliance and disability services.
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Lead a remote engineering team building AI-driven full-stack applications using React, Next.js, Django, and AWS, while mentoring developers and managing client projects.
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