Hire Generative AI and LLM Engineers in 48 Hours
Access vetted generative AI talent fast. Scale your team with pre-screened engineers who build on OpenAI and Claude, ground answers in your own data, and know how to tell whether the output is good enough to ship.
No-Risk Trial Period If you're not satisfied, pay nothing
Trusted by Leading Enterprises
Meet Generative AI Engineers Ready to Start
Every engineer is pre-vetted for technical depth and communication. Browse profiles, compare skills, and hire in one click.
Why Hire Our Generative AI Engineers?
They Measure Output Quality
Anyone can call an API. Our engineers build evaluation sets first, so you can prove the output is reliable before it reaches a customer rather than finding out afterwards.
Rapid Project Kickoff
Start building within 48 hours and reduce time to market dramatically.
Grounded in Your Data, Not the Model’s
Experience building retrieval pipelines that answer from your documents and systems with citations, rather than producing fluent answers nobody can verify.
Cost and Latency Aware
Model choice, context management and caching decide whether a feature is viable at your volume. Our engineers design for the bill as well as the demo.
IP Protection and NDA Compliance
We prioritize your confidentiality and project ownership at every step.
How to Hire LLM Engineers Through ABArk
Generative AI Experts For Businesses Across Every Sector
Our Engagement Models
Hourly
Flexible generative AI engineering support for quick tasks, experiments, fixes and short term development needs.
- No long-term commitment
- Pay only for hours used
Part-Time
Dedicated generative AI engineering support for ongoing progress without a full time hiring commitment.
- Consistent support every month
- Flexible workload based on project needs
Monthly
Full time generative AI engineering capacity for teams that need focused execution and faster delivery.
- Full-time dedicated developer
- Priority execution across your product roadmap
Estimate the Cost of Your Talent Needs
Get a quick estimate based on the talent role, hiring model, experience level, team size, and project duration. Final pricing can be customized after we understand your exact requirements.
How would you like to hire?
Which expert do you need?
What experience do you need?
Engagement Model
Duration
Estimated Cost
Includes vetting, onboarding, and a free replacement guarantee.
Configuration Summary
- Model:Single Talent
- Role:LLM Engineer
- Experience:Junior
- Duration:3 Months
Estimate only. Final pricing depends on exact skill requirements and engineer availability.
Technologies We Use To Build
Generative AI Applications
Generative AI Running in Production

Vocaliv
Vocaliv helps training institutes scale course delivery, reduce trainer workload, and launch new programs faster through AI-powered lesson planning, voice-based content creation, automated quizzes, and 24/7 student support.

AI Call Agent
Modern businesses lose countless opportunities simply because they cannot answer every incoming call. The AI Receptionist Platform solves this problem by providing businesses with a 24/7 intelligent voice assistant that answers calls instantly, manages bookings, and supports customers with natural conversations.
UCLODIA
AB Ark built Angela, an AI voice assistant that answers UCLODIA’s website visitors, qualifies prospects, and books consultations in the same conversation, lifting visitor conversion from 2.4% to 8.1%.

AI4 Real
AI4Real automates real estate marketing with intelligent video creation. It combines AI, property data analysis, and templates for agencies to create professional videos instantly.

Eventas
AB Ark transformed Eventas AI into a self-operating ecosystem, replacing manual chaos with a high-precision AI Command Center.

All In One Accounting
Modern businesses often rely on multiple disconnected systems to manage tasks, communication, data, and workflows. The All-in-One Business Platform consolidates these essential tools into a single, centralized ecosystem that simplifies operations and enhances productivity across teams.

















