Google CES Developer

Job Title: Google Cloud Platform BIGDATA Engineer Work Location: Dallas, TX (Onsite) Must Have Skills: Google Cloud Platform Bigquery Python SQL Detailed Job Description: 10+ years of experience in Data Engineering with strong expertise in designing, building, and optimizing large-scale data solutions. Technical Skills: Data Warehousing & Cloud Platforms: Proficient in Teradata, and Google Cloud Platform (Google Cloud Platform) services including BigQuery, Cloud Storage, Dataflow, and Pub/S

Job Title: AI / ML Engineer Location: Dallas, TX or Memphis, TN Hybrid Duration: 6+ Months Job Description Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution and developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solution. Coul

AI PLATFORM ENGINEER Role Overview We are looking for an AI Platform Engineer a builder who can architect the "factory" where AI is made. Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously. Key Responsibilities Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to u

oles & ResponsibilitiesDesign, build, and maintainRetrievalAugmented Generation (RAG) and Agentic RAG solutionsfor enterprise use cases.DevelopLLMdriven applicationsusing frameworks such asLangChain, including agents, tools, and custom chains.IntegrateAzure AI Search,Azure OpenAI, and vector search to enable grounded and scalable AI solutions.Implementcrosscloud LLM integrations, leveragingAWS Bedrockalongside Azure AI services.Integrate external data sources and realtime web search (e.g.,Tavily