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Builds and maintains scalable data pipelines and infrastructure to process raw data into actionable insights, collaborating with data scientists and analysts in a fast-paced startup environment focused on AI solutions.
Build and maintain scalable data pipelines to transform raw data into insights for AI solutions, collaborating with data scientists and engineers.
Builds scalable data pipelines and AI platforms for clients, focusing on ETL, analytics, and ML deployment while mentoring junior engineers.
Designs and optimizes cloud-native platform infrastructure (Azure/Kubernetes) for AI-driven enterprise clients, focusing on CI/CD pipelines, automation, and scalable DevOps solutions.
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Architect and demo LLM-powered AI solutions for enterprise prospects, bridging technical discovery and sales to accelerate AI adoption across industries.
You design and own the reusable component layer that powers Cadre AI’s AI systems, turning bespoke client builds into configurable modules to maximize reuse and margin.
You demo and architect LLM-powered AI solutions for Fortune 500 clients, translating their needs into live demos and guiding technical discovery to accelerate AI adoption.
Builds AI-driven enterprise integrations (APIs, SAP) for procurement workflows, collaborating with customers to design scalable solutions and automate deployments.
Leads the conversational core of ServiceNow’s Voice AI platform, focusing on dialog quality, LLM selection, and customer enablement for enterprise voice agents. Owns product roadmap, scaling from early adopters to 100+ customers annually while competing with startups and CCaaS incumbents.
Concevoir et optimiser des modèles de langage (LLM) pour des cas d’usage métiers et automatiser des processus complexes dans l’aéronautique et la défense.
Build full-stack AI-powered apps for enterprise clients using JavaScript, Node.js, Vue/React, and PostgreSQL, shipping features from idea to production in a fast-moving startup.
Design and deploy enterprise-grade data pipelines and generative AI solutions on Azure, integrating Azure OpenAI and RAG to enhance investment decision-making and operational efficiency.
Solutions Engineer at Glean, a Work AI platform, demos and integrates AI-powered search and agents for enterprises, translating tech into business outcomes.
Builds and maintains scalable AI/ML data pipelines, integrates diverse data sources, and collaborates with ML teams to deploy models using Terraform/Terragrunt in an Agile environment.
Lenovo is seeking a Finance AI Full Stack Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building end-to-end applications, integrating with ERP systems, and optimizing AI performance for finance-related workflows.
Develop and optimize enterprise applications focused on product security, debugging, and performance tuning for AMD’s global IT and supply chain systems using Java, C++, Python, and SQL.
Design and build data systems for pandemic therapeutics research, integrating biological and clinical datasets with AI tools at the Doherty Institute.
Build and orchestrate autonomous AI agents in Azure and Claude to automate software pipelines and deliver enterprise-grade AI-native solutions.
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