Nearshore AI product engineering for LLM apps, RAG, and copilots
Rootstrap is a product and engineering services firm building AI-powered software for client teams, with delivery staffed from Latin America. Its stack centers on applied LLM work: OpenAI, Mistral, and LangChain paired with Pinecone and Weaviate for retrieval, plus Promptfoo, LangSmith, and Arize Phoenix for evaluation and observability. That tooling points to production LLM delivery rather than prototyping, and current hiring is light and focused on data and engineering.
Rootstrap, founded in 2011 and privately held, provides product strategy, UX, data, and engineering services to startups and enterprises. It builds web and mobile applications, including iOS and Android, and increasingly AI-native products such as retrieval systems and copilots. Engineering spans Python (FastAPI, Django, Flask) and JavaScript (Node.js, React) and deploys across AWS, GCP, and Azure with Docker, Kubernetes, and Terraform. The company has 201–500 employees, is based in the United States, and hires in Argentina and Uruguay.
Rootstrap uses OpenAI, Mistral, LangChain, Pinecone, and Weaviate for AI work. It builds with Python (FastAPI, Django), Node.js, and React, and runs on AWS, GCP, and Azure using Docker, Kubernetes, and Terraform.
Rootstrap's current hiring is in Argentina and Uruguay, which fits its nearshore delivery model. Open roles are concentrated in data and engineering at mid and senior levels.
Rootstrap is building LLM-based solutions such as RAG systems, multi-agent tools, and copilots. Related work includes end-to-end AI features with scalable APIs, CI/CD and infrastructure-as-code for AI services, and AI evaluation suites.
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Rootstrap'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 →
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