Hire AI Engineers
in India
Senior AI engineers ready in 48 hours. Build LLM-powered applications, RAG systems, and autonomous AI agents using OpenAI, Claude, LangChain, and LlamaIndex — at 60% less than US/UK rates.
What Our AI Engineers Build for You
From LLM integrations to production-grade AI agents and RAG systems
LLM-Powered Applications
Integrate GPT-4o, Claude, or Gemini into your product — chat features, content generation, summarisation, and intelligent search.
RAG Systems
Build Retrieval Augmented Generation pipelines that ground LLM answers in your private data — documents, databases, and knowledge bases.
AI Agents & Automation
Build autonomous AI agents that can search the web, query databases, call APIs, and execute multi-step tasks with reasoning.
AI Chatbots
Production-grade AI chatbots with conversation memory, context management, fallback handling, and seamless human handoff.
Document Intelligence
AI-powered document processing — PDF extraction, invoice parsing, contract analysis, and structured data extraction.
AI-Powered Search
Build semantic search over your content — vector embeddings, similarity search, and hybrid keyword + semantic ranking.
Fine-Tuning Pipelines
Prepare datasets, fine-tune foundation models, and evaluate results — for custom tone, domain-specific knowledge, or task specialisation.
Prompt Engineering
Systematic prompt design, few-shot engineering, chain-of-thought prompting, and evaluation frameworks to maximise model accuracy.
LLM Cost Optimisation
Implement prompt caching, model routing, output caching, and token budgeting to reduce LLM API spend by 40–70%.
AI Technologies & Frameworks We Cover
Engagement Models for AI Engineers
Staff Augmentation
Embed an AI engineer into your product team. They join your sprint, build AI features alongside your developers, and ship together.
Dedicated AI Team
A full AI squad — AI engineer, ML engineer, and data scientist — building your AI product full-time and exclusively.
AI Feature Sprint
Hire AI engineers for a focused sprint — RAG system, LLM integration, or AI agent — fixed scope and timeline.
Why Hire AI Engineers Through TechTeamsOnline?
Production AI Experience
Our AI engineers have shipped real AI features in production — not just hobby projects. They know how to handle latency, cost, hallucinations, and edge cases.
48-Hour Matching
Share your AI requirements. Receive 2–3 pre-vetted AI engineer profiles within 48 hours, ready for your technical interview.
7-Day Risk-Free Trial
Work with your AI engineer for a full week. Not the right fit? You pay nothing.
60% Cost Savings
Hire senior AI engineers at $2,000–$5,000/month — compared to $150,000–$250,000/year in the US AI talent market.
Multi-LLM Expertise
Our engineers work with OpenAI, Anthropic, Google, Mistral, and open-source models — choosing the right tool for your use case and budget.
Free Replacement Guarantee
If your AI engineer leaves or underperforms, we replace them within 7 business days at no cost.
TechTeamsOnline vs Other AI Engineer Hiring Options
| Factor | TechTeamsOnline | US AI Engineer | AI Agency |
|---|---|---|---|
| Monthly Cost | $2,000–$5,000 | $12,000–$20,000 | $15,000–$40,000 |
| Time to Hire | 48 hours | 8–16 weeks | 2–4 weeks (project) |
| Production Experience | ✅ Verified | ✅ Yes | ⚠️ Team varies |
| Dedicated Full-Time | ✅ Yes | ✅ Yes | ❌ Shared team |
| 7-Day Trial | ✅ Risk-free | ❌ No | ❌ No |
| Free Replacement | ✅ Yes | ❌ Extra cost | ❌ No |
How We Vet AI Engineers
Only the top 4% pass our 4-stage screening process
Portfolio Review
We review live AI features shipped, LLM integrations built, RAG systems designed, and production performance.
Technical Assessment
Build a small RAG pipeline, integrate an LLM with streaming, and solve a prompt engineering challenge.
AI Systems Interview
Design a production AI system: architecture, cost controls, evaluation, and failure mode handling.
Communication Fit
English proficiency and async collaboration style evaluated.
What Clients Say About Our AI Engineers
"Our AI engineer built a production RAG system over our 50,000-document knowledge base in 6 weeks. Accuracy is 94%. Our support tickets dropped 60%."
"The LLM integration for our platform took 3 weeks and the engineer handled streaming, caching, fallbacks — everything production-grade from day one."
"We built an AI agent that auto-classifies and routes 500 customer emails per day. The AI engineer delivered it in a 4-week sprint. Brilliant."
Frequently Asked Questions
What is the difference between an AI engineer and a machine learning engineer?
An AI engineer builds applications using AI — integrating LLMs, building RAG systems, creating AI agents. An ML engineer focuses on training, evaluating, and deploying ML models. AI engineers skew toward application building; ML engineers skew toward model development.
How long does it take to integrate an LLM into our product?
A basic LLM chat integration takes 1–2 weeks. A production-grade feature with RAG, conversation history, rate limiting, cost controls, and fallback handling takes 4–8 weeks.
What is RAG and when should we use it instead of fine-tuning?
RAG grounds the LLM in your specific data at query time — no training needed. It's best for knowledge bases and documentation Q&A. Fine-tuning adjusts model weights for specific styles or tasks — better for consistent output format, but requires large datasets.
Can your AI engineers build AI agents that take actions?
Yes. Our AI engineers build agentic systems using LangChain, LlamaIndex, or custom frameworks — agents that search the web, query databases, call APIs, and execute multi-step workflows.
What does AI integration typically cost?
Engineering cost depends on complexity — simple integrations may take 2 weeks, enterprise features 3–6 months. Our engineers help choose cost-efficient models and implement caching to reduce LLM API spend.
Do your AI engineers have experience with open-source models?
Yes. Our engineers work with Mistral, LLaMA, Falcon, and other open-source models via Hugging Face, Ollama, or vLLM — valuable for data security or cost reduction.
Ready to Hire a Senior AI Engineer?
Get 2–3 pre-vetted AI engineer profiles in 48 hours. Start with a 7-day risk-free trial.