Fluxon is a San Francisco-based engineering services firm built around senior-level technologists (70% of hires are senior or staff level). The tech stack spans modern polyglot infrastructure—TypeScript, Python, Go, Rust, Java across frontend (React, Next.js, Angular) and backend (Spring, FastAPI, Django), with heavy cloud and AI tooling (GCP, AWS, Azure, Google Gemini, Vertex AI, Hugging Face). Active projects signal both client-delivery work (model deployment, fine-tuning for domain tasks, RAG systems) and internal scaling challenges around feedback culture, performance reviews, and product clarity—typical friction points for services firms scaling from 200 to 500 headcount.
Fluxon pairs senior engineering talent with client product teams on full-stack and AI development work. Founded in 2018 and headquartered in San Francisco, the firm operates with 201–500 employees across multiple geographies (United States, India, Portugal, Poland). The hiring profile reflects a senior-weighted bench: 70% of active recruiting targets senior, staff, and manager roles, with engineering and product representing the core function areas. Projects span infrastructure modernization, generative AI integration, and model deployment at scale. Internal initiatives around culture scaling, onboarding, and people programs suggest the firm is managing the operational complexity of rapid international hiring.
TypeScript, JavaScript, Python, Java, Go, Rust, Ruby on Rails, Kotlin, and Swift. Frontend work relies on React, Next.js, and Angular; backend spans Spring, FastAPI, and Django.
Google Gemini, Vertex AI, Hugging Face for AI work. Cloud infrastructure runs on GCP, AWS, and Azure, including managed services like Cloud Run, Fargate, and SQS for messaging.
Fluxon'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.