AI-native transformation and agent delivery for enterprise functions
Agentic Dream embeds delivery teams that build AI agents and operating models inside enterprises. Its stack is LLM-first (LangChain, CrewAI, OpenAI API, plus four vector stores: Pinecone, Weaviate, FAISS, Chroma) across AWS, Azure and GCP, a multi-cloud spread typical of a consultancy meeting clients where they run. Senior-weighted, engineering-heavy hiring in the US and Colombia points to a nearshore delivery model, with job posts flagging backend consistency and microservices migration work.
Agentic Dream is a privately held firm headquartered in Fort Lauderdale, Florida, founded in 2013 and employing 51–200 people. It works with large enterprises to make them AI-native, offering readiness assessments, operating model design, embedded delivery units and modernization of functions such as sales, finance, support, HR and operations. Delivery teams build and deploy AI-powered systems and agents on client data and guardrails. The firm hires across the United States and Colombia, with most roles in engineering and data.
Agentic Dream uses Python, FastAPI, LangChain, CrewAI, OpenAI API, Hugging Face, PyTorch and TensorFlow, with Pinecone, Weaviate, FAISS and Chroma for vectors, on AWS, Azure and GCP with Terraform and Pulumi.
Agentic Dream hires in the United States and Colombia, mostly for senior and mid-level engineering roles, alongside data, product and support positions. It is headquartered in Fort Lauderdale, Florida.
Job posts point to AI agents for customer service, process automation and knowledge retrieval, LLM and RAG optimization, multi-tenant backend patterns, CI/CD improvements, infrastructure as code and a transportation management system.
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Agentic Dream's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.