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LLMs · RAG · Machine Learning

Hire AI Developers Who Take Models From Notebook to Production

Dedicated AI and ML engineers from Bengaluru who build LLM features, retrieval systems and models that actually run in your product, with evaluation, monitoring and cost control built in.

Get a Fixed QuoteSee What's Included
  • 1Profiles in 24 hours
  • 2LLM apps and RAG
  • 3Classic ML and data pipelines
  • 4Monthly terms, no placement fee
  • LLMs
  • Machine Learning
  • Python

In Short

Why Hire AI Developers From India?

AI engineers are scarce and expensive everywhere. India has a fast-growing pool of engineers building LLM and ML systems for global companies. When you hire AI developers through LitSpark, you get people who have shipped AI features to real users, at a monthly cost far below local rates, with vetting, payroll and replacements handled.

Updated · LitSpark Solutions, Bengaluru

Start
Within a week
Focus
LLMs, RAG, ML
Contract
Monthly
Based in
Bengaluru, India

What They Build

AI Work Our Engineers Own.

  • LLM Features

    Chat, summarisation and drafting built on GPT, Claude or open models.

  • RAG Systems

    Search over your documents with vector databases and evaluation.

  • AI Agents

    Agents that call your APIs and tools with guardrails.

  • Machine Learning Models

    Forecasting, classification and recommendations.

  • Data Pipelines

    Clean, versioned data for training and analytics.

  • MLOps

    Deployment, monitoring and cost tracking for models in production.

How It Works

From Call to First Experiment.

  1. 01

    Hiring Call

    Use case, data, stack and hours.

  2. 02

    Shortlist

    Vetted profiles within a day.

  3. 03

    Interview

    Your technical round, plus a design discussion.

  4. 04

    Onboard

    NDA and data access agreed.

  5. 05

    Build

    A first working prototype in the opening weeks.

Who Hires From Us

Teams Adding AI to Their Product.

  • SaaS Companies

    AI features customers will pay for.

  • Data-Rich Businesses

    Models that forecast and recommend.

  • Startups

    An AI-first product with a lean team.

  • Enterprises

    Private LLM tools over internal data.

Portfolio

AI Products Our Team Has Built.

All Resource Hiring Work
  • JK Tech Resource Hiring: Resource Hiring project for Information Technology by LitSpark

    Resource Hiring · Information Technology

    JK Tech Resource Hiring

    Provided end-to-end technical recruitment services for JK Tech by identifying, screening, interviewing, and onboarding highly skilled IT professionals across multiple technologies. The engagement enabled the client to quickly scale their engineering team while reducing hiring time and maintaining quality.

    Built with: ReactJS, Node.js, Angular, .NET

    Ongoing
  • Synov Staffing Support: Resource Hiring project for Information Technology by LitSpark

    Resource Hiring · Information Technology

    Synov Staffing Support

    Delivered end-to-end recruitment and staffing services for Synov by sourcing, screening, and onboarding skilled IT professionals across multiple technical domains. The engagement helped Synov rapidly expand its workforce while maintaining high hiring standards and reducing recruitment turnaround time.

    Built with: Network Engineering, L1 Support, ReactJS, Node.js

    Ongoing
  • Quantum Offshore Resource Hiring: Resource Hiring project for Information Technology by LitSpark

    Resource Hiring · Information Technology

    Quantum Offshore Resource Hiring

    Provided offshore IT recruitment and dedicated resource hiring services for Quantum by sourcing, evaluating, and onboarding experienced software professionals to support the client’s growing engineering requirements. The engagement focused on delivering skilled remote developers while reducing hiring costs and accelerating team expansion.

    • Hire ReactJS Developers
    • Hire NodeJS Developers

    Built with: ReactJS, Node.js, Angular, Python

    Ongoing

Why LitSpark

Why Companies Choose Our AI Team.

  • Production Over Demos

    Evaluation, monitoring and cost limits, not just a clever prototype.

  • Model Agnostic

    We pick the model that fits your cost, privacy and quality needs.

  • Data Handled Carefully

    NDAs, scoped access and no training on your data without consent.

  • Full-Stack Support

    Our developers can build the product around the AI.

Before You Hire an AI Engineer.

  • Which problem should AI solve first?
  • What data do you have, and where?
  • Which models are allowed?
  • How will quality be measured?
  • What are your privacy rules?
  • Who owns the models and prompts?

Pricing

What an AI Engineer Costs.

One monthly fee per engineer covering salary, benefits, equipment and replacements. Typical bands:

  • Mid-Level

    $3,200–4,500

    Per month, full-time

    3–5 years, ships features independently.

    Get My Quote

  • Senior

    $4,500–6,500

    Per month, full-time

    5–8 years, owns modules and reviews code.

    Get My Quote

  • Lead or Architect

    $6,500–9,000

    Per month, full-time

    8+ years, designs systems, guides the team.

    Get My Quote

Prefer a fixed-scope AI project? See AI & Automation Development.

Tech Stack

Skills We Vet For.

Every AI engineer passes a coding round and a system design discussion on a real use case.

LLMs
OpenAIAnthropicLlamaLangChain
Retrieval
pgvectorPineconeWeaviateEvals
ML
PythonPyTorchscikit-learnXGBoost
MLOps
MLflowDockerAWS SageMakerAirflow

From the Blog

AI and Engineering Guides.

More Resource Hiring Posts

More Resource Hiring Services

FAQ

Hiring AI Developers, Answered.

Can't find yours? Email business@litspark.solutions.

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

A full-time mid-level AI engineer through LitSpark typically costs $3,200–4,500 a month, and senior engineers $4,500–6,500, all-inclusive.

Do you have machine learning engineers as well as LLM developers?

Yes. We supply engineers for LLM apps and RAG as well as classic machine learning, forecasting and data pipelines.

Can they work with private or on-premise models?

Yes. We can deploy open models like Llama inside your cloud when data can't leave your environment.

How do you keep our data safe?

Engineers sign NDAs, work with scoped access and follow your data policies. Nothing is used for training without your approval.

Who owns the code and models?

You do. All code, prompts, models and data belong to your company.

Let's talk

Get AI Engineer Profiles in 24 Hours.

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