Hire an AI Developer in India

How much does it cost to hire an AI developer in India?

AI application builds start at ₹80,000 ($950) for a focused LLM feature or RAG chatbot, and go up to ₹2,50,000+ for multi-source retrieval, evals, and production hardening. Hourly consulting on architecture and prompt/eval strategy is available from ₹3,000/hr. A fixed-price proposal is shared before work begins.

Which models do you build on — Claude, GPT, or open models?

Claude (Anthropic) and GPT (OpenAI) for most production work, chosen per task on cost, latency, and quality. Open-weight models (Llama, Mistral, Qwen) when self-hosting or data residency demands it. The code is model-agnostic behind a thin provider layer, so swapping or A/B-testing models is a config change, not a rewrite.

Do you build RAG chatbots and retrieval pipelines?

Yes — this is the core of what I ship. Document ingestion and chunking, embeddings, a vector store (pgvector or Pinecone), hybrid keyword + semantic search with re-ranking, and citation-grounded answers. Every pipeline gets an eval set so retrieval quality is measured, not guessed.

How do you handle data privacy and on-prem / self-hosting?

Sensitive data stays in your infrastructure. Options include self-hosted open-weight models, zero-retention API tiers from Anthropic/OpenAI, PII redaction before any model call, and a vector store you own (pgvector on your Postgres). On-prem and VPC deployments are supported.

Do you do fine-tuning, or just RAG?

RAG first — it's cheaper, updatable without retraining, and handles changing knowledge better for most use cases. Fine-tuning is reserved for fixed-style or fixed-format tasks where prompting plateaus. I'll tell you honestly which one your problem needs, and usually it's retrieval plus good prompts, not a fine-tune.