BharatGen Tech Stack

Government-backed LLM and multimodal AI for Indian languages

Technology, Information and Internet Mumbai, Maharashtra 51–200 employees Founded 2024 Nonprofit

BharatGen is a government-funded AI consortium under IIT Bombay building large language models and multimodal foundation models optimized for Indian languages. The tech stack emphasizes LLM inference and orchestration (LangGraph, DSPy, vLLM, Ray, SLURM) paired with evaluation infrastructure (MLflow, Weights & Biases, DVC), reflecting a core focus on model quality and operational stability. Current project work centers on evaluation pipelines, RAG systems, and agentic architectures — suggesting the organization is moving beyond foundational model training toward production-grade deployment and autonomous agent systems.

Tech Stack 58 technologies

Core StackPython RAG Jira Asana Monday.com Selenium TensorFlow PyTorch Langchain Weights & Biases MLflow Kubeflow LangGraph DSPy AutoGen CrewAI MCP Microsoft Project Robot Framework Pytest Transformers NeMo LlamaIndex vLLM SLURM Ray NCCL Git DVC Dask+24 more

What BharatGen Is Building

◆Challenges

Complex multi-stakeholder initiatives
Resource gaps
Process inefficiencies
Ensuring ai safety and trustworthiness
Scaling ai evaluation pipelines
Defining ai quality metrics

▲Active Projects

Ai evaluation pipeline development
Ai quality metrics definition
Ci/cd release gate implementation
Foundational generative ai model development
Retrieval-augmented generation pipeline
Ai stack integration into production
Agentic ai system architecture

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Engineering

Seniority

Senior

Mid

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About BharatGen

BharatGen operates as a government-funded nonprofit consortium under the Technology Innovation Hub at IIT Bombay, with backing from India's Department of Science and Technology. The mandate spans developing efficient LLMs and multimodal models for Indian languages, building multilingual data repositories, fostering public-private partnerships, and strengthening India's AI talent ecosystem. The organization is structured around engineering-focused work, with active hiring concentrated in senior and mid-level technical roles across India. Current work includes foundational model development, RAG pipeline implementation, and agentic AI system architecture, alongside critical work on AI safety, trustworthiness, and evaluation metrics.

HeadquartersMumbai, Maharashtra

Company Size51–200 employees

Founded2024

Hiring MarketsIndia

Frequently Asked Questions

What AI frameworks and tools does BharatGen use?

Primary stack includes LangGraph, DSPy, AutoGen, and CrewAI for model orchestration; PyTorch and TensorFlow for training; vLLM, Ray, and SLURM for inference and scaling; MLflow, Weights & Biases, and DVC for experiment tracking and evaluation.

What is BharatGen working on?

Active projects include foundational generative AI model development, AI evaluation pipeline creation, retrieval-augmented generation systems, agentic AI architectures, and CI/CD release gate implementation for production deployment.