Hire AI Engineers
From India
Build LLM applications, ML systems, and AI-native products with engineers who ship to production — not just proof-of-concept. US, UK & EU companies, served from India.
What our AI engineers build for you
From intelligent document systems to production ML pipelines — every capability below comes with a deployment track record.
LLM Applications & AI Copilots
Chat interfaces, document Q&A, and internal knowledge tools powered by GPT-4o, Claude, or Gemini — built for production, not demos.
RAG & Knowledge Systems
Retrieval-augmented generation pipelines over your documents, databases, or proprietary data. Accurate answers grounded in your context.
AI Agents & Automation
Multi-step agents that reason, plan, and execute tasks across APIs and tools — replacing manual workflows with reliable automation.
Machine Learning & Predictions
Custom ML models for classification, forecasting, anomaly detection, and recommendation — trained on your data, deployed to your stack.
MLOps & Model Deployment
Production infrastructure for training pipelines, evaluation, CI/CD, and model monitoring — so your AI keeps working after launch.
AI Integration into Existing Products
Embedding AI features into your current SaaS or platform without rewriting your stack — scoped, surgical, and backward-compatible.
Hire AI engineers the way you work
Staff Augmentation
Extend your team with AI depth
1–3 AI engineers embedded directly in your team. You retain full control of the sprint, codebase, and roadmap. They show up in your standups and ship in your repo.
Best for
Teams that already exist and need AI specialization fast.
Dedicated AI Pod
End-to-end AI product team
A cross-functional pod of 2–5 — AI engineer, full-stack developer, and optional tech lead. Managed, accountable, and focused on your product.
Best for
Companies building a new AI product or feature from scratch.
Project-Based
Fixed scope, defined outcome
Scoped engagement with deliverables, milestones, and a timeline agreed upfront. No open-ended billing — just defined work, shipped on schedule.
Best for
Well-defined problems where you know what done looks like.
Technologies our AI engineers work with
GPT
Claude Sonnet
Gemini
LLaMA
Mistral
DeepSeek
Qwen
LangChain
LlamaIndex
Hugging Face
PyTorch
TensorFlow
AWS
GCP Vertex AI
Azure ML
Docker
MLflow
Python
TypeScript
Java
SQL
FastAPI
Django
Spring Boot
Next.js
React.jsWhy global companies hire AI engineers through Artinoid
India produces over 1.5M engineers annually. We hire from the top tier — and we've built the process to get them working on your product fast.
Production-First Engineers
Every engineer we place has shipped AI to production — not just notebooks or Colab demos. We filter for real deployment experience before you ever speak to them.
Faster Than In-House Hiring
Skip the 4–6 month local hiring cycle. We match, interview, and onboard in days — not months. You meet candidates before any commitment is made.
40–60% Lower Than US/UK Rates
Senior-grade AI engineering out of India at a fraction of US or UK market rates — without trading quality. India produces over 1.5M engineers annually; we hire from the top tier.
No Lock-In
Scale up, scale down, or pause with two weeks' notice. Weekly billing, no 12-month commitments. Built for companies whose needs evolve.
Simple process, faster than in-house hiring
Discovery Call
We learn about your goals, team structure, timeline, and what a successful engagement looks like for you.
Candidate Matching
We shortlist pre-vetted candidates whose skills and experience closely match your requirements.
Technical Interview
You interview shortlisted candidates directly — same process as in-house hiring. You decide who joins.
Contracts & NDA
Agreements signed swiftly. IP assignment, confidentiality, and data handling are all covered before work begins.
Onboarding
Your new team member is set up, briefed, and contributing from day one. No extended ramp-up.
Common questions
How quickly can we get started?
After an initial scoping call, we typically match you with AI engineers within 48 hours. Most engagements kick off within 7 days of first contact.
Do your AI engineers sign NDAs?
Yes. NDAs are standard — signed before any project details are shared. IP assignment agreements are included in every engagement contract.
What does it cost to hire AI engineers through Artinoid?
We don't publish fixed rates since each engagement varies by scope, seniority, and model. We'll give you a transparent proposal after our discovery call — no hidden fees.
Can I hire AI engineers for a short-term project?
Yes. Our project-based model is built for defined scopes — from 4-week sprints to 6-month product builds. We'll structure milestones around your timeline.
What AI frameworks and tools do your engineers specialize in?
Our engineers work across LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow, and all major LLM APIs (OpenAI, Anthropic, Google). Stack choice is always driven by your problem.
How do you ensure code quality and model performance?
Every engagement includes peer code review, automated testing pipelines, and defined evaluation benchmarks for ML models. We don't ship without a performance baseline.
Can I scale my AI team up or down mid-engagement?
Yes. You can add engineers, reduce scope, or pause the engagement with two weeks' notice. We're built for companies whose needs change as their product evolves.
Ready to hire AI engineers?
Tell us about your project, team size, and what you're trying to build. We'll scope the right engagement and have engineers matched within 48 hours.
contact@artinoid.com
Response Time
Within 24 hours
Next Step
Discovery call to scope your AI engineering needs