Technology consultancy for data, AI, software engineering and staff augmentation
Sphere is a services firm whose stack leans heavily into the modern AI toolchain — LangChain, LlamaIndex, OpenAI, Hugging Face, PyTorch and SageMaker across AWS, Azure and GCP. Hiring is accelerating and senior-skewed, split between engineering and a sizable sales push, with job posts pointing to cloud-partner co-selling and standardized, modular AI infrastructure for client delivery.
Sphere is a privately held technology consultancy founded in 2005 and headquartered in North Miami Beach, Florida. It offers strategy, data and AI, custom software development and staff augmentation to client organizations. Engineering work spans Python, .NET, Ruby on Rails, PHP, Java and Golang, alongside Kotlin, TypeScript and React. The company employs 201–500 people and currently hires in the United States.
Sphere uses Python, Kotlin, TypeScript, React, PostgreSQL and MySQL, runs on AWS, Azure and GCP, and builds AI with LangChain, LlamaIndex, OpenAI, PyTorch, TensorFlow, Databricks and SageMaker.
Yes, both. Hiring is accelerating, led by senior engineering roles with a strong sales component, plus data and marketing positions, all in the United States.
Job posts point to MLOps and distributed training pipelines, model performance monitoring, joint go-to-market with AWS or Google Cloud partners, account-based marketing, and real-time AI using physiological signals.
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Sphere'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.