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Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Lead DevOps/SRE role maintaining AWS-based media pipelines, containerized environments, and AI-powered workflows using Terraform, Kubernetes, and CI/CD.
Build and operate AI platform capabilities for a legal-tech product, focusing on retrieval, vector search, model orchestration, and agentic workflows to power features like predictive coding and multi-modal understanding.
Build and scale AI-powered personalized learning tools using TypeScript/Vue 3 and LLM pipelines on a TypeScript/tRPC backend, with optional full-stack contributions.
Build backend services in .NET/C# that power semantic search, contextual linking, and visualization of engineering documents for an AI-driven SaaS platform used by global infrastructure teams.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, RAG, and cloud tools.
Lead the fine-tuning and deployment of LLMs to power NPR’s audience personalization and metadata systems, ensuring ethical AI, factual accuracy, and scalable cloud pipelines.
Build and scale an AI-driven cybersecurity platform that automates threat detection and response using LLMs, cloud-native services, and workflow orchestration.
Builds scalable data pipelines and AI systems for an investment bank, integrating LLMs, RAG, and analytics to process complex datasets and enable intelligent decision support.
Leads a technical squad to build, govern, and deploy Plan data assets (Bronze/Silver/Gold layers) for supply-chain analytics, ensuring quality, compliance, and CI/CD delivery to enable AI and business insights.
Build and deploy LLM-based AI pipelines and services, integrating them into corporate products and systems using Python, RAG, and vector databases.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
Build and deploy enterprise-grade retrieval and knowledge systems for Scale GP, including RAG pipelines, vector stores, and context engines that power AI agents for customers.
Senior AI Engineer builds and deploys agentic LLM systems using frameworks like LangGraph and Crew AI to power Profitero+'s ecommerce analytics and automation tools.
Build AI/ML models and graph analytics for telecom network autonomy, using Python, BigQuery, and KPI engineering to predict faults, optimize performance, and support AIOps and digital twin systems.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
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