Hire AI Developers in India

A dedicated AI developer from VOCSO starts at about $1,500 a month for 160 hours of full-time work, billed monthly in advance. Generative AI and MLOps specialists start at about $1,800 a month and machine learning engineers at about $1,600, while senior engineers and tech leads are quoted per role. Model, token and cloud usage are separate running costs that we estimate before work starts. If you would rather buy an outcome, an AI proof of concept costs $12,000–$20,000 and a focused production build $20,000–$60,000; our AI development cost guide explains these bands.

Our AI developers build LLM and generative AI features, RAG assistants that answer from your documents, AI agents that call tools and automate workflows, chatbots, natural language processing, computer vision and predictive machine learning models. They also do the surrounding engineering that makes AI usable: data pipelines, APIs, integration with your web or mobile app, evaluation test sets, guardrails, monitoring and cost control. Examples include a conversational BI platform that answers plain-English questions from enterprise databases and the AI assistant in our StackRoom product. Most clients add AI to an existing product rather than building a separate one.

Hire an AI developer when you need someone who can build AI features end to end in a product, combining models, data and application code. Hire a generative AI developer for focused LLM, copilot and content-generation work, a machine learning engineer to train custom models for prediction, scoring or vision, and an MLOps engineer to deploy, monitor and retrain models reliably. Many teams start with one AI developer and add a specialist as the work narrows. We can help you choose during the consultation.

Yes. You can hire a single AI developer or a dedicated AI pod that combines, for example, AI developers, a data engineer, an MLOps engineer and a tech lead who runs delivery. A pod suits work with several AI features or a production system that needs monitoring and retraining. Each member works 160 hours a month on your project, and team size can change at the start of any month. If you want a managed team that owns outcomes across web, mobile and AI, see our dedicated development team model.

We replace them at no additional cost. You interview every developer before they join, and if within 15 days of starting a developer does not meet the standard your project needs, tell us and we assign a better-matched replacement. After that period, your account manager reviews performance with you each month, and any change of developer comes with a planned handover so model experiments, prompts and evaluation results are not lost. Because work lives in your repositories and tools, the knowledge stays with your project rather than with one person.

We sign an NDA before discovery and work under ISO/IEC 27001 and ISO 9001:2015 certified processes. Where data must stay in your environment, developers work inside your own AWS, Azure or Google Cloud account with access you control, use enterprise model endpoints or self-hosted open models, and avoid copying datasets to personal machines. Credentials, prompts, training data and trained models are never shared with third parties without your consent. Under our terms, ownership of deliverables created for you, including code and models, passes to you on payment.

Our AI developers work from Faridabad, India, on IST, with a daily overlap window agreed during onboarding. India is 4.5–5.5 hours ahead of the UK and 9.5–10.5 hours ahead of US Eastern time. UK clients overlap for most of their morning and early afternoon with standard IST hours; for US clients, developers shift part of their day into the Indian evening so the window falls in your morning. Standups and reviews happen inside the window, and written updates, recorded demos and pull requests keep you informed outside it.