India AI Engineering Team

Hire AI Developers in India

Build AI agents, RAG systems, LLM apps, voice AI and automation with XPndAI. Start with a scoped workflow or bring us into an existing engineering roadmap.

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What you can hire XPndAI for

AI Agents

Tool-using agents, agent orchestration, workflow automation, human approvals and production monitoring.

RAG & LLM Apps

Private knowledge assistants, enterprise search, document intelligence, retrieval pipelines and LLM integrations.

Voice AI

Inbound and outbound voice agents for support, sales, qualification, appointments and operational workflows.

AI SaaS

From AI MVP to full product: APIs, dashboards, auth, databases, model orchestration and production deployment.

AI Automation

Automate CRM, email, data, back-office workflows and cross-system business processes.

Integration Engineering

Connect models and agents to your existing APIs, ERP, CRM, databases, payments and communication stack.

Engagement options

Scoped Build

You share the outcome. XPndAI designs and ships the solution with defined deliverables.

AI MVP Sprint

Validate one high-value use case before committing to a broader platform build.

Engineering Collaboration

Work alongside your internal developers on architecture, AI implementation and deployment.

Send the role or project scope.
Include use case, tech stack, integrations and target launch window.
Contact XPndAI →

AI Development Company India · AI Agent Development · Generative AI Development · AI SaaS Development

Hiring AI Developers — Common Questions

Everything about hiring XPndAI's AI engineering team for your project.

How much does it cost to hire AI developers in India?

XPndAI works on fixed-fee projects — ₹5–10L for an AI MVP, ₹15–40L for a full AI system, ₹60L–2Cr for enterprise AI platforms. This is different from hiring individual developers by the hour (which can cost ₹3,000–8,000/hour with no guaranteed outcome). With XPndAI, you get a defined deliverable at a defined price.

How long does XPndAI take to deliver an AI project?

A working prototype in Week 2. A production AI MVP in 4 weeks. A full AI product with integrations in 8–12 weeks. Enterprise platforms: 3–6 months. XPndAI uses pre-built AI frameworks and tooling, so you skip the 4–8 week team ramp-up that staffing companies require.

What is the difference between hiring XPndAI vs a staffing company?

Staffing companies supply developers by the hour — you manage them, bear the risk of cost overruns, and own the outcome. XPndAI delivers a complete AI system at a fixed price with defined deliverables. You pay for outcomes, not hours. No management overhead. No ramp-up time.

What AI expertise does XPndAI's team have?

XPndAI engineers are expert in: LLM development (GPT-4o, Claude 5, Llama 3.3), AI agent frameworks (LangChain, CrewAI, AutoGen), RAG pipelines, voice AI (Sarvam, ElevenLabs, Whisper), MCP servers, Python backend (FastAPI), Flutter mobile, and cloud deployment (AWS, GCP, Vercel).

Can XPndAI work with my existing development team?

Yes. XPndAI integrates with existing engineering teams as an AI specialist pod. We handle AI architecture, LLM integration, agent systems, and production deployment while your team handles product, UI, and business logic. We adapt to your sprint cadence and stack.

Does XPndAI handle IP ownership and NDAs?

Yes. All XPndAI client projects include a full IP assignment agreement — all code, models, and systems built for you become your intellectual property on project completion. NDAs are standard on every engagement. We never use your data to train models or share client information.

Which industries has XPndAI delivered AI for?

XPndAI has shipped AI systems for: BFSI (credit scoring agents, KYC automation), healthcare (triage voice agents, medical record AI), ecommerce (recommendation engines, AI support), logistics (route optimization AI), SaaS (AI copilots, workflow automation), and real estate (lead qualification agents).

Can XPndAI take over a stalled AI project from another vendor?

Yes. XPndAI regularly rescues AI projects where the initial vendor delivered a basic chatbot or prototype that didn't meet production requirements. We audit the existing codebase, identify gaps, and deliver a production-ready AI system — typically within 6–8 weeks of handover.

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