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Avigna.AI Tech Stack

Enterprise AI integration and RAG platform for product teams

Information Technology & Services Pune, Maharashtra 51–200 employees Partnership

Avigna.AI builds generative AI capabilities into enterprise products using a Microsoft-heavy stack (Azure OpenAI, Azure AI Search, LangChain, Semantic Kernel) paired with vector databases (Pinecone, Weaviate, FAISS). The project list—RAG pipelines, LLMOps CI/CD, AI integration initiatives—reveals a systems-focused practice around embedding AI into existing software rather than building standalone models. Hiring is concentrated in engineering (6 roles) with senior-level emphasis, suggesting they're scaling implementation depth over headcount.

Tech Stack 55 technologies

Core StackC# SQL Server Azure Functions Angular React LangChain Docker Kubernetes Pinecone Weaviate Python FastAPI Flask AWS RAG Node.js Java JavaScript NET Core Azure Web API Azure App Service Azure Storage Git Azure OpenAI Azure AI Search Azure Cognitive Search Semantic Kernel AutoGen FAISS+25 more

What Avigna.AI Is Building

◆Challenges

Integrating ai into existing products

▲Active Projects

Generative ai applications
Rag pipelines
Llmops ci/cd pipelines
Ai integration initiatives within existing enterprise products

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

6

HR

1

Product

1

Seniority

Senior

5

Mid

2

Junior

1

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About Avigna.AI

Avigna.AI helps mid-market and enterprise companies integrate generative AI into existing products. The company operates from Pune and works primarily with clients in India. Their approach centers on RAG (retrieval-augmented generation) pipelines and LLMOps infrastructure to inject AI capabilities into legacy and modern applications without full rewrites. The tech stack leans heavily on Microsoft Azure services and open-source AI frameworks, indicating a consultative systems-integration model rather than SaaS product licensing.

HeadquartersPune, Maharashtra

Company Size51–200 employees

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Avigna.AI use?

Primary: .NET Core, Azure (App Service, Functions, Storage, OpenAI, AI Search, Cognitive Search), C#, SQL Server, Angular, React. AI/ML: LangChain, Semantic Kernel, AutoGen, FastAPI, Python. Vector DBs: Pinecone, Weaviate, FAISS. Infrastructure: Docker, Kubernetes.

What is Avigna.AI working on?

Generative AI applications, RAG pipelines, LLMOps CI/CD pipelines, and AI integration initiatives within existing enterprise products. Focus is on embedding AI into legacy and modern software systems.