AI consulting and product development for U.S. enterprises
Arionkoder is an AI-focused consulting and product development firm founded in 2020, now operating at ~200 people across Boston and Latin America. The tech stack reveals a company doubling down on LLM automation (LangChain, OpenAI, GPT-4o, Gemini) alongside mobile-first architecture (Kotlin, Android SDK, iOS, Jetpack Compose) and cloud infrastructure (AWS, Azure, GCP, Kubernetes). Active hiring is concentrated in engineering (senior-level focus) across Brazil, Argentina, and Uruguay, with documented internal friction around distributed leadership and API integration bottlenecks—suggesting growth outpacing operational maturity.
Arionkoder delivers AI consulting, product development, and nearshore team augmentation to mid-market and Fortune 500 clients in the United States. The company specializes in designing and building AI-powered digital products, mobile applications, and backend systems, with particular focus on LLM automation for document processing and multimodal vision tasks. Core service areas include product strategy, full-stack software development (web and mobile), and staff augmentation from Latin America. The business model blends consulting-driven discovery with hands-on development delivery, operating from Boston with engineering teams distributed across Brazil, Argentina, and Uruguay.
Arionkoder's primary stack includes LangChain, OpenAI, GPT-4o, and Gemini for LLM work, with Streamlit for rapid prototyping and FastAPI for backend APIs. The firm also uses Azure and GCP alongside AWS for cloud infrastructure.
Active projects include LLM automation POCs for document processing, multimodal vision-language model OCR, scalable AI prototypes, backend architecture design, mobile API orchestration, and API governance. The firm is also addressing internal challenges around API integration bottlenecks and distributed engineering leadership.
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Arionkoder'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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