AI-enabled digital solutions and legacy modernization for enterprises
Nearform is a 500-person digital services firm building AI-powered applications and modernizing legacy systems for Fortune 500 enterprises. The tech stack reveals a dual-layer architecture: a mature full-stack foundation (JavaScript, React, Node.js, PostgreSQL, Kubernetes) paired with a deep AI/ML layer (LangChain, AutoGen, TensorFlow, PyTorch, Databricks, Azure OpenAI). Project velocity centers on agentic platforms, LLM orchestration, and RAG pipelines—signaling that AI is now the primary delivery lever, not an add-on. Hiring is engineering-heavy and geographically distributed across nine countries, with senior and leadership roles dominating the mix.
Notable leadership hires: Solutions Director, Technical Lead, Tech Lead, Key Account Director, Marketing Lead
Nearform partners with enterprises to design and deploy intelligent digital solutions, with particular focus on AI-enabled modernization of legacy systems. The firm operates across strategy, product design, data engineering, and software engineering, with stated expertise in React Native, DevOps, and platform modernization. Active delivery spans proof-of-concepts, reference architectures, agentic platform deployment, and RAG pipeline integration. Core pain points addressed include operationalizing LLM-powered agents, scaling rapidly, and overcoming legacy constraints while maintaining security and performance. The organization spans 20+ countries with offices including Waterford (headquarters), and is headquartered in Ireland.
JavaScript, Node.js, React, TypeScript, PostgreSQL, Python, FastAPI, LangChain, AutoGen, Azure OpenAI Service, TensorFlow, PyTorch, Kubernetes, GraphQL, and Databricks. The stack spans full-stack web development and advanced AI/ML orchestration.
Agentic platform deployment, LLM orchestration architecture, RAG pipeline design and integration, and enterprise modernization. Projects include proof-of-concepts, reference architectures, and operationalizing LLM-powered agents at client sites using LangGraph, CrewAI, and AutoGen.
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