AWS-focused cloud and generative AI engineering consultancy
Armakuni is a London-based cloud-native consultancy delivering AWS, DevOps, data and AI/ML engineering for enterprise clients. Its stack leans hard into GenAI tooling (LangChain, LangGraph, Crew AI, Bedrock, Pinecone, FAISS, Langfuse) alongside classic ML libraries, and accelerating, senior-heavy engineering hiring concentrated in India points to scaling offshore delivery capacity for RAG and agentic AI work.
Notable leadership hires: Tech Lead
Armakuni is a privately held technology consultancy founded in 2012 and headquartered in London, with 201–500 employees. It holds AWS Premier Partner status and helps enterprises modernize systems, automate infrastructure, and embed AI and machine learning into operations. Service lines span generative AI, AWS cloud services, DevOps, data engineering and machine learning. Engagements are structured through proprietary delivery frameworks it calls PUSH, PULL and LIFT, covering cloud migration, data and AI work.
Armakuni works on AWS with SageMaker and Bedrock, GenAI tools like LangChain, LangGraph, Crew AI and Pinecone, ML libraries such as PyTorch and XGBoost, and FastAPI, PostgreSQL, DynamoDB and Redis.
Armakuni's current hiring is focused in India, mostly senior and lead engineering roles, with a Tech Lead among notable openings and hiring velocity accelerating.
Job posts point to RAG pipeline development, generative AI application architecture, model deployment and monitoring, CI/CD pipelines, and multi-tier AWS cloud infrastructure management.
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Armakuni'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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