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Big AIR Lab Tech Stack

Applied AI systems for multi-agent reasoning and real-time deployment

IT System Custom Software Development Bengaluru, Karnataka 11–50 employees Privately Held

Big AIR Lab builds agentic AI systems that coordinate across multiple LLMs and reasoning engines. The stack spans Python + FastAPI + Node.js on cloud infrastructure (AWS/GCP/Azure), with heavy use of Hugging Face, OpenAI, and Anthropic models, plus local inference via vLLM and Ollama. Current projects—RAG pipelines, agentic application deployment, real-time audio/video—suggest a shift from research-stage prototypes toward production systems; the hiring mix (mid-level engineering dominant, minimal velocity) reflects a lean organization navigating the pilot-to-scale transition.

Tech Stack 60 technologies

Core StackFlutter Firebase Python FastAPI Node.js MongoDB Supabase Redis GitHub Hugging Face PostgreSQL Docker OpenAI Anthropic Ollama AWS Django React Next.js GitHub Actions Dart Riverpod WebRTC Xcode Android Studio vLLM GCP Azure Microsoft Office Google Workspace+25 more

What Big AIR Lab Is Building

Challenges

  • High-volume administrative tasks
  • Ambiguous environment
  • Rapid changes
  • Lean resources
  • Pilot-to-scale phase
  • Prototype to scalable product
  • Pilot to scale

Active Projects

  • Rag pipeline development
  • Agentic application deployment
  • Evaluation tool development
  • Real-time audio/video applications
  • Pilot-to-scale product launch

Hiring Activity

Minimal15 roles · 1 in 30d

Department

Engineering
6
Product
3
HR
1
Ops
1

Seniority

Mid
7
Senior
3
Junior
1
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About Big AIR Lab

Big AIR Lab is a 11–50 person AI services firm based in Bengaluru, India, focused on applied AI systems that require multi-model orchestration and contextual adaptation. The engineering-forward team (6 engineers, 3 product, support ops) builds across mobile (Flutter/Dart), backend (Python FastAPI), and web (React/Next.js) surfaces. Active engagements span RAG pipeline development, agentic application deployment, evaluation tooling, and real-time communication features. The organization is currently scaling from pilot deployments to production workloads, managing rapid model iteration cycles and resource constraints typical of this phase.

HeadquartersBengaluru, Karnataka
Company Size11–50 employees
Hiring MarketsIndia

Frequently Asked Questions

What AI models does Big AIR Lab use?

OpenAI and Anthropic for production inference, plus Hugging Face for open-source model access and local inference via vLLM and Ollama for latency-sensitive or on-premise deployments.

What tech stack does Big AIR Lab use?

Python + FastAPI backend; Flutter + Dart for mobile; React + Next.js for web; Firebase and Supabase for data layer; Docker and GitHub Actions for CI/CD; deployed on AWS, GCP, and Azure.

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