Hire GenAI Engineers in India

Hire experienced on-demand GenAI engineers to design, deploy, and scale generative AI solutions without the complexity of full-time hiring. Our pre-vetted GenAI engineers help organizations accelerate AI adoption by integrating large language models, building RAG pipelines, and delivering secure, reliable AI-powered applications. From LLM integration to AI assistants and vector databases, we provide flexible engagement models tailored to your generative AI initiatives.

Explore the Future

Why Choose Our On-Demand Analytics Engineers

Work with senior, enterprise-ready GenAI engineers who integrate seamlessly with your existing teams, tools, and workflows. Eliminate long recruitment cycles and move GenAI solutions from concept to production faster.

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Instant Team Expansion
Deploy experienced GenAI engineers within 24–72 hours.
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Flexible Engagement
Choose fixed-time contracts or pay-per-hour engagement models.
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Secure & Compliant
GenAI engineers experienced in HIPAA, HITECH and GDPR.
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Enterprise-Ready Talent
GenAI engineers skilled in LLM integration, RAG pipelines & vector databases
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Cost-Optimized Models
Avoid hiring overhead and pay only for productive GenAI engineering hours.
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High-Performance Delivery
Managed workflows, reliable delivery timelines, and transparent reporting.

DataTheta Engagement Models for Client Project

Flexible engagement models designed to match your project needs are scalable, cost-efficient, and built for predictable, high-quality delivery.

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Fixed-Time Platform Engineers

Best suited for long-term initiatives such as data platform modernization, cloud migrations, and lakehouse adoption.

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Pay-Per-Hour Platform Engineers

Ideal for short-term needs, performance tuning, platform troubleshooting, optimization tasks, and proof-of-concept work.

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Dedicated Platform Engineering Pods

A fully managed team of platform engineers and specialists working exclusively on your data infrastructure roadmap.

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Offshore and GCC Platform Teams

Build and scale offshore platform engineering teams with complete support for hiring, operations, and compliance.

98%
Client Satisfaction
Our Hiring and
Delivery Process
02.
Engineer Shortlisting and Vetting

You receive a curated shortlist of pre-vetted GenAI engineers aligned with your technical and domain requirements.

04.
Delivery and Continuous Scaling

Execution is supported by progress tracking, system reviews, and the flexibility to scale resources as your GenAI needs evolve.

01.
Requirement Analysis and Skill Mapping

We begin by understanding your GenAI use cases, data sources, security requirements, and success metrics to define the ideal GenAI engineer profile.

03.
Fast Onboarding (Within 48–72 Hours)

Selected GenAI engineers are onboarded within 48–72 hours and integrate quickly into your workflows and AI stack.

Key Benefits of Hiring On-Demand Developers from DataTheta

01
Senior, Pre-Vetted
Engineers

Every DataTheta GenAI engineer undergoes a rigorous multi-stage evaluation process to ensure you work only with proven, high-performing experts who can deliver production-ready AI solutions from day one.

02
No Hiring Delays Start in
48 Hours

Avoid lengthy recruitment cycles. Our streamlined onboarding process allows you to deploy skilled GenAI engineers quickly so your AI initiatives continue without disruption.

03
Flexible Engagement
Models

Choose an engagement model that fits your workload. Hire GenAI engineers on an hourly, weekly, monthly, or fixed-timeline basis with no long-term contractual commitments.

04
Complete Transparency
& Full Control

Work directly with your assigned GenAI engineer, track progress in real time, and receive clear updates with no hidden costs or overhead.

05
Scalable Teams for Any Technology Stack

Easily scale your GenAI engineering team up or down based on evolving use cases, data volume, and business demand.

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06
Secure and NDA-Protected Development

Your data, prompts, models, and intellectual property remain fully protected through signed NDAs, enterprise-grade security practices, and strict confidentiality standards.

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Build Your Team Faster with DataTheta’s On-Demand Developers

Get reliable, skilled, and industry-aligned developers - whenever you need them.

You Have Questions - We Have Answer

What does “Hire Developers on Demand” mean at DataTheta?
How does the Fixed-Time Resource / Pay-Per-Hour model work?
What type of developers and specialists can I hire from DataTheta?
How fast can DataTheta provide a developer or a team?
How does DataTheta ensure quality and accountability for hired resources?

What does on-demand GenAI engineering mean?

On-demand GenAI engineering allows you to engage experienced generative AI engineers quickly without long-term hiring commitments. These engineers specialize in building, customizing, and deploying generative AI solutions, enabling you to rapidly implement AI-powered applications and workflows tailored to your business needs.

What types of GenAI work can your engineers handle?

Our GenAI engineers support a wide range of generative AI initiatives, including large language model (LLM) integration, prompt engineering, retrieval-augmented generation (RAG) pipelines, fine-tuning and model customization, AI agent development, and deployment of GenAI solutions into production environments.

How quickly can a GenAI engineer be onboarded?

Qualified GenAI engineer profiles are typically shared within 24 hours of requirement confirmation. Once selected, onboarding is completed within 48 to 72 hours, allowing your GenAI initiatives to move forward without delays caused by traditional hiring processes.

What engagement and pricing models do you offer?

We offer flexible engagement options, including pay-per-hour, monthly fixed-time resources, and dedicated GenAI engineering pods. This ensures full transparency, cost control, and the ability to scale GenAI expertise based on project scope and business priorities.

How do you ensure AI quality, security, and accountability?

AI quality is ensured through prompt evaluation, model testing, and continuous performance monitoring. Security and accountability are maintained via data privacy controls, access management, audit-ready workflows, and sprint-based delivery with regular progress reporting. All engagements operate under strict NDAs and enterprise-grade security standards.