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Leads the design and integration of scalable, secure Generative AI solutions (LLMs, vector databases, inference pipelines) within CareSource's enterprise ecosystem, partnering across architecture, engineering, and security teams. Core technologies include Azure AI services, OpenAI, LangChain, and API architecture.
Senior backend engineer building ML systems, MLOps pipelines, and data infrastructure for eBay's Ads platform using distributed data frameworks (Spark, Hadoop, Flink), ML serving (TensorFlow, PyTorch, LLMs), and cloud services at scale.
The Senior Backend Engineer will build and maintain scalable ML systems, data pipelines, and MLOps infrastructure to deploy AI models into eBay's production environment. The role involves working with technologies like Spark, Kubernetes, and various ML frameworks to support search, recommendations, and Generative AI features.
The Generative AI Developer will build and integrate agentic, retrieval-grounded AI applications using pre-trained foundation models and frameworks like LangChain and LlamaIndex. The role focuses on prompt engineering, RAG system development, and deploying AI workflows within a financial services environment.
This role involves architecting and building enterprise-grade AI solutions, including LLM-based agents and RAG pipelines, to optimize IT business applications like marketing and sales workflows. The position focuses on solutions engineering and technical leadership rather than pure research.
This role involves building and operating AI-driven business applications for marketing and sales using LLMs, agents, and RAG. The engineer will lead the design and production deployment of scalable, agentic workflows within the IT Business Applications team.
Build production-grade AI-driven web apps for Singapore’s financial regulator using Python/JS, LLM APIs, and agent frameworks like LangGraph while ensuring security and scalability.
The Agentic AI Engineer will design and deploy autonomous AI agents and machine learning solutions to modernize operations for the United States Postal Service. The role involves building agent-based architectures using frameworks like LangChain and AutoGen, implementing MLOps pipelines, and ensuring AI governance and performance.
Hands-on Senior AI Platform Engineer designing, building, and governing AI-powered productivity experiences using Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI services within the foundation's internal IT team.
Build and maintain AI-driven enterprise apps using .NET 6/7/8, React, Power Apps, and Azure OpenAI/Anthropic APIs, deployed on AWS.
The AI Engineer will design, develop, and deploy AI-powered solutions, including machine learning models, intelligent agents, and copilots, using Python and Azure cloud platforms. This role involves collaborating with cross-functional teams to integrate AI into enterprise applications while adhering to responsible AI and security standards.
Build and operate production ML models and AI-driven systems for anomaly detection across Disney's streaming platforms (Disney+, Hulu, ESPN). Core tech: Python, PyTorch, FastAPI, MLflow, AWS/EKS, Docker, and time-series data processing.
Designs and deploys AI applications (LLMs, RAG pipelines) for Bank of America, optimizing revenue and risk strategies via advanced analytics and cloud-native architectures.
Senior Security Engineer building autonomous AI agents that protect Procore's cloud platform—designing agentic IAM, self-healing infrastructure, and AI-driven SDLC pipelines using LLM orchestration, AWS, Kubernetes, and Python/Go.
Design, develop, and deploy AI-powered solutions (LLMs, NLP, computer vision, edge AI) for document workflows and enterprise imaging products at HP, using Python/C#/Java and cloud platforms.
Design AI-first, predictive, and autonomous managed services solutions for enterprise operations using LLM frameworks, RAG, and multi-agent workflows across Oracle Fusion, Salesforce, Zuora, AWS, and MuleSoft.
Designs and deploys enterprise-grade AI solutions for a financial institution, focusing on LLM engineering, RAG pipelines, and AI-driven automation using Python, LangChain, and vector databases.
Solution Architect designing AI/ML solutions for enterprise clients, with hands-on engineering in Python, cloud infrastructure (Kubernetes, Docker, Terraform), and modern AI ecosystems (LangChain, Hugging Face, vector databases).
Build end-to-end product features connecting Next.js frontends with Python/Node.js backends and LLM-powered AI inference pipelines, designing autonomous agent workflows with a focus on reliability and real-time interaction.
Build and maintain enterprise ERP web applications for a manufacturing technology company using C#.Net MVC, ASP.Net, ReactJS, and MS SQL Server, while integrating AI-assisted features such as LLM APIs and intelligent document parsing.
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