Hire AI Engineers from India
Hire dedicated AI engineers from TechEinHub to build RAG chatbots, AI agents, LLM-powered automation, and machine learning systems. Our AI team is proficient in LangChain, LlamaIndex, OpenAI GPT-4, Anthropic Claude, Gemini, Python ML, and vector databases. Get production-ready AI systems delivered faster with an experienced team that builds with Cursor AI and GitHub Copilot as standard tools.
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Hire AI Engineers from TechEinHub to Build Intelligent Systems That Know Your Business
Hire dedicated AI engineers from TechEinHub who specialise in building production-ready AI systems — not just demos. Our AI team has shipped RAG chatbots, AI agents with real tool use (database queries, email, CRM), document analysis pipelines, and LLM automation workflows for clients in India, USA, UK, and UAE.
Our AI engineers work across the full AI stack — from LLM API integration (OpenAI, Claude, Gemini) to vector database setup (Pinecone, ChromaDB, pgvector), LangChain orchestration, FastAPI backends, and React/Flutter frontends. Hire on an hourly, monthly, or fixed-project basis with an NDA signed before we start.
We accelerate AI development using Cursor AI, GitHub Copilot, and Claude Code — meaning you get production systems in 6–12 weeks instead of 4–6 months. Our engineers are Senior and mid-level, all based in Ahmedabad, Gujarat — available in IST timezone with overlap for USA/UK clients in the morning.
Connect with us
We sign NDA for all our projects.
Hire AI Engineers from TechEinHub for Every Type of AI System
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RAG Chatbot Development
Build AI chatbots that answer questions from your own documents, PDFs, and knowledge base using Retrieval-Augmented Generation with LangChain and Pinecone or ChromaDB as the vector store. Answers from your data, not the open internet.
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AI Agent Development
Multi-step AI agents that use tools — query databases, send emails, browse the web, create Jira tickets, trigger Slack alerts — orchestrated with LangChain Agents or LangGraph for complex, stateful workflows.
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LLM API Integration
Integrate OpenAI GPT-4, Anthropic Claude, Google Gemini, or open-source LLaMA into your existing product via a clean, production-ready API layer. Streaming responses, token management, cost tracking, and fallback handling included.
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Document Analysis Pipelines
Extract structured data from contracts, invoices, medical records, and legal documents at scale. Structured JSON output delivered to your backend via API. Handles multi-page PDFs, scanned documents (OCR), and tabular data.
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Python ML & Data Science
Build custom ML models for classification, regression, demand forecasting, and recommendation engines. PyTorch, scikit-learn, pandas, and fast inference APIs. Deployed as Docker containers on AWS or GCP.
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Vector Database Setup
Design and implement vector stores — Pinecone, ChromaDB, Weaviate, or pgvector on PostgreSQL — for semantic search, similarity matching, and RAG retrieval. Optimised chunking, embedding, and metadata filtering strategies.
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AI-Powered Automation
Connect LLMs to your CRM, ERP, Slack, WhatsApp, and databases to build intelligent automation workflows that understand natural language inputs and trigger the right backend actions without human intervention.
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Fine-Tuning & Prompt Engineering
Fine-tune open-source models (LLaMA, Mistral) on your domain data for improved accuracy, consistent tone, and reduced hallucination. Advanced prompt engineering and system prompt design for GPT-4 and Claude.
Pricing Plans
Hire Dedicated AI Engineers from TechEinHub Technologies starts from,
Hourly
For targeted AI features — LLM API integration, RAG pipeline setup, prompt engineering, or agent enhancements on your existing system.
Monthly
Popular
Dedicated AI engineer who builds your system end-to-end — RAG pipeline, agents, and frontend — with daily standups and weekly demos.
Quarterly
A complete AI product build — from architecture to deployment — with a senior AI engineer dedicated to your project for 3 months.
Frequently Asked Questions
1. Why should I hire dedicated AI engineers?
Dedicated AI engineers from TechEinHub bring deep LangChain, OpenAI, and vector database expertise with production experience from 50+ shipped apps. They work exclusively on your project, giving you faster delivery, focused attention, and a team that has already solved the problems you'll face building AI systems.
2. How can I hire AI engineers from TechEinHub?
Contact us through our website or WhatsApp with your AI project requirements. Our team will respond within 24 hours with suitable engineer profiles and a proposal based on your needs. We can start a project within 48 hours of agreement.
3. How experienced are your AI engineers?
Our AI team has 3–7 years of software development experience and 1–3 years of dedicated LLM/ML engineering. All engineers have shipped production RAG systems or AI agents — not just tutorial projects. They've worked on healthcare, manufacturing, e-commerce, and enterprise AI applications.
4. Can I hire an AI engineer for hourly tasks?
Yes. If you have specific tasks — integrating an LLM API, building a RAG pipeline, or prompt engineering for a specific use case — you can hire on an hourly basis. Minimum engagement is 10 hours. Hourly rate starts at $28/hour.
5. What is the hiring process?
Share your requirements → receive engineer profiles and proposal within 24 hours → 30-min technical call with the engineer → NDA signed → project kickoff within 48 hours. We move fast because our team is already trained and ready.
6. What does it cost to hire an AI engineer?
Hourly rates start at $28/hour. Monthly dedicated engagement starts at $3,490/month. Quarterly engagement is $9,499/quarter for a complete AI product build. Fixed-project pricing is available for well-defined scope. All rates are transparent — no hidden platform fees or management overhead.
7. Can I test the AI engineer's skills first?
Yes. We can arrange a paid 10-hour trial where the engineer works on a specific task from your project. This lets you evaluate skills, communication style, and code quality before committing to a longer engagement. The trial cost is deducted from your first month if you proceed.
8. What steps should I follow to hire an AI engineer?
Describe your AI project (RAG chatbot, agent, ML model, document AI, etc.), the LLM stack preference if any, and your timeline and budget. We'll match you with the right engineer profile and a project proposal within 24 hours.
9. How do you assure the confidentiality of my AI system idea?
We sign a comprehensive NDA before any technical discussion. Your system design, training data, business logic, and document sources stay confidential. We've signed NDAs for every one of our 100+ client projects. The NDA is enforceable under Indian law and international IP law.
10. Will I have full control over the hired AI engineer?
Yes. The AI engineer works dedicated to your project in your preferred timezone (IST with morning overlap for USA/UK). You control their priorities, attend daily standups, and communicate directly via Slack, Teams, or your preferred platform. You own all code and IP from day one.
Process We Follow
1. Requirement Gathering
We gather your AI requirements, document sources, use cases, and integration points before writing a line of code.
2. Architecture Design
We design the AI system architecture — LLM selection, vector database, retrieval strategy, agent tools, and integration points.
3. Prototype
A working proof-of-concept with your actual documents and data before full development starts — so you see the AI working on your content early.
4. Development
Full AI system build — RAG pipeline, agent logic, API layer, admin dashboard, and frontend using latest LLM frameworks with AI-assisted tooling.
5. Quality Assurance
Accuracy testing, hallucination checks, edge case testing, and latency benchmarking before any production deployment.
6. Deployment
Deployed to your cloud environment (AWS, GCP, or Azure) with monitoring, cost tracking, and auto-scaling configured.
7. Support & Maintenance
Ongoing monitoring, document updates, model upgrades, and performance tuning — our team is always available after deployment.
Let's Create Big Stories Together
AI is in our DNA. We don't just build AI demos, we build production AI systems. Choosing us will be your best decision.
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