JavaScript-first consulting firm scaling AI and full-stack web platforms
Anagh Tech positions itself as a JavaScript and full-stack web specialist, but the tech stack reveals a sharper focus: heavy adoption of LLM infrastructure (OpenAI, Anthropic, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, MCP) alongside core backend languages (Python, Java, Kotlin) and enterprise observability (Datadog, Splunk). The gap between LinkedIn positioning and actual tooling suggests the firm is pivoting toward AI-augmented services and modernization consulting. All 6 open roles are engineering-focused with senior/staff-level hires, indicating execution velocity on internal platform builds.
Anagh Tech is a consulting firm based in Piscataway, NJ serving mid-market clients with UI, front-end, and full-stack web solutions. The company operates across three active modernization projects: rebuilding internal eservice systems, constructing a scalable UI platform, and optimizing customer-facing applications for performance. With 51–200 employees, the firm is engineering-led and currently accelerating hiring in the United States, targeting senior and staff engineers to address core pain points around legacy system modernization and platform scalability.
Primary stack: Python, Java, Kotlin, JavaScript, Oracle, AWS (EKS, general cloud), Docker, Terraform, Jenkins. Emerging: LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, RAG for AI-driven solutions. Observability: Datadog, Splunk.
Three core projects: modernizing legacy eservice systems, building a scalable UI platform, and enhancing customer-centric application performance. All address internal modernization and scalability challenges.
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Anagh Technologies Inc'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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