Hire Generative AI Engineers
If you need to hire Generative AI Engineers and can't wait months, we can provide highly vetted senior Generative AI engineers with experience in LLMs, RAGs, and AI agents.
All we need to do is interview & have them complete a paid task. Most engineers can start within week 1.
Book a free 15-minute call to discuss your requirements.
- US-registered LLC
- You own the code
- Paid trial task
Which Generative AI Engineers Can You Hire?
Choose the skill your project needs, and we match you with an engineer tested on it.
Machine Learning Engineers
Models, training and prediction engines
LLM & NLP Experts
Language models, RAG and fine-tuning
Agentic & Voice AI Developers
Agents and voice assistants that act
Computer Vision Engineers
Image and video understanding
Data & MLOps Engineers
Pipelines, deployment and monitoring
AI Integration Engineers
CRM, APIs and MCP connections
Industries Our Generative AI Engineers Work In
We develop LLMs, RAG and agents to help with the following industries:
E-Commerce & Retail
Product Q&A Assistants, Cart Recovery Agents and Wholesale Lead Qualifiers.
Book a free 15-minute callHealthcare & Dental Clinics
Appointment Booking Agents, Rescheduling and Patient FAQ Assistants.
Book a free 15-minute callReal Estate
Lead Qualification for Buyers & Renters, Viewing Booking and CRM Updater.
Book a free 15-minute callLegal and Professional Services
Client Screening, Document Search Assistants and Consultation Booking.
Book a free 15-minute callB2B & SaaS
Lead Qualifier for Demo Requests, Help Center RAG Bots and CRM Integration.
Book a free 15-minute callWhat Our Generative AI Engineers Can Build
We can build practical AI solutions for the most common client requests:
| Solution | What it does | Why it’s useful |
|---|---|---|
| AI Agents | Automate tasks within your CRM, Calendar, email, and Store. | Save time on repetitive manual tasks. |
| RAG System | Answer questions from your documents. | Ensure accurate answers. |
| Chatbots, Voice Assistants & Conversational AI | Answer support and sales questions 24/7. | Long waiting times. Busy support. |
| Knowledge Assistants | Enable your employees to ask questions. | Difficult to find information. |
| AI Business Automation | Add models into your tools. | Processes are siloed. |
| Fine-tuned models & Prediction engines | Train a model using your data to complete a specific task. | Too generic. |
We will guide you through building your LLM, RAG & Agents. If you are unsure what you want to build, contact our AI Agent consultants.
Why Hire a Generative AI Engineer?
Most teams come to us with an issue they want to resolve. This could be slow support, long searches through documents or repetitive tasks in your CRM, email, or Calendar. Generative AI is a great solution for this but it requires development and testing.
Hiring an in-house engineer can take months. We can get an engineer in your tools within week 1. We can provide verified engineers who can get started on a real task. This means you can test your idea.
If you are unsure which to pick, we can help you decide on our initial call. We recommend starting with 1 engineer.
Book a free 15-minute callFind out more about how we hire remote AI developers.
What is a Generative AI Engineer?
A Generative AI engineer will make your model a core part of your business. They will choose the correct model for your needs and create and fine-tune prompts. They integrate your model with your documents and tools and ensure accurate answers. They will also set up monitoring to ensure issues are picked up early.
On average engineers will build a support chatbot that pulls answers from your help center or an agent that updates your CRM after every sales call. This is a software engineering role but they will also test and communicate clearly with your team.
Models, Frameworks & Tools
LLMs
We have access to GPT, Claude, Gemini, and Open-Source models and will run tests to determine which is best for your data.
Prompt Engineering
We will create prompts to ensure the responses remain on topic with the correct tone. We will also run testing.
Testing
We will run testing on your model.
Monitoring
We will monitor for any issues with the responses.
Frameworks
We will use a popular and well documented framework so that it can be easily handed over to another team.
AI Agents (MCP)
With the use of Model Context Protocol (MCP), we can integrate your tools to an agent. The agent will receive the ticket, make updates and send messages without any custom code per application.
Integration
We can integrate with Slack, Microsoft Teams, Jira, Asana and your own Git repositories. Our engineers will use these tools.
We will choose the best model for you.
Select the best model depending on your clarity:
| Model | Best for | How it works |
|---|---|---|
| Hourly/Part Time Engineer | 1 task or skills gap. | Pay for the hours worked. |
| Dedicated Developer | Ongoing work. | 1 dedicated engineer will join your team. We will provide cover. |
| Managed Pod | Complete AI Roadmap. | Small team of engineers, data scientists & delivery experts. |
| Fixed Price | Clear build. | Fixed price. Clear milestones. IP in your name. |
All options include our AI Staff Augmentation. If you want a fully built solution, view our custom AI agent development. If you want a number, request a free ROI estimate.
How Hiring Works
- 1
Tell us your requirements
Book a free 15 minute call to discuss your tools, goals & deadlines.
- 2
We will match you
We will quickly search and send across somel matched profiles.
- 3
Interview
Speak directly to our engineers.
- 4
Trial
Ask our engineers to complete a small real task.
- 5
Start
Add the engineer to your chat, task board & code. Work will be managed by one of our delivery leads.
- 6
Scale
We can scale with you. If someone leaves we will replace them & maintain context.
How We Vet Our Generative AI Engineers
We don’t just ask engineers to show us their resume or an impressive demo. We put them in practical scenarios. We test their ability to create reliable systems, troubleshoot, and clearly communicate their decisions.
- 01
Practical testing
Completing tasks that would be similar to a project including creating an AI agent that can call tools or clean dirty data.
- 02
Knowledge of evaluating AI
Can they evaluate results, test accuracy, identify regressions and reduce hallucinations?
- 03
Experience working in production
Can they explain the systems they have created, challenges they have faced and how they resolved failures?
- 04
System design
Can they explain how different components work together within the AI system and how data is stored, secured and monitored?
- 05
Communication skills
Can they explain why technical decisions were made in simple terms? Are they transparent about what they know/need to learn?
- 06
Confirming they are who they say they are
Confirming that the person you have interviewed is the person who will be working on your code.
We also look past the impressive demo. A good generative AI engineer should be able to explain how they ensure the AI outputs are accurate, secure your data, and what they do if something goes wrong in production.
How Much Does It Cost to Hire a Generative AI Engineer?
Choose hourly, dedicated or fixed-price work. These are starting prices, and you get a written quote before any work begins.
In-house engineers can cost $300k+ per year (including salary, benefits & fees).
5 factors will affect your final price:
- 1Experience. Less experienced coders will be cheaper than principal AI architects.
- 2Skills. Agent flows, text generation or CUDA tuning may be more expensive than standard data.
- 3Length. Longer contracts may give you better monthly rates.
- 4Number of people. 1 engineer will be cheaper than a whole pod.
- 5Engagement. Each engagement will be different.
Tell us what you want to build, and you will receive a detailed cost breakdown.
Get My Price BreakdownHow the Work Runs
You decide what is important. Our delivery lead will ensure everything is going in the right direction. Any issues will be flagged quickly. We will explain any technical jargon in simple terms so you have full control over any non-technical teams.
Our engineers will use your tools & git repos. We will provide 3-4 hours of collaboration. You will receive daily written updates & a collaborative board.
We will have a scoping call & match you. We will trial with your team (paid). Your team can use any models they want. We will evaluate to ensure the AI is doing what it should & you can make any changes going forward.
- Code, prompts in your repos.
- Evaluation set up.
- Runbook for someone not in the room.
- Your own API keys. Nothing will be turned off.
- Support for your in house team to take over.
Data Security and IP Ownership
Everything will be yours
Code, models & prompts will all be owned by you from day 1. We have a work-for-hire agreement.
NDA & DPA
We can ensure these are in place with your legal team.
Access
Engineers will have access based on their role. We can use anonymised data for sensitive work. Your production credentials will remain with you.
Risk
We will scope how we handle your data based on your risk tier and follow your security and compliance rules.
Common frameworks
Everything will be built using common frameworks so another team can take over at any time.
Why Hire From LoopHawk
AI only. We can build agents, chatbots, automation & integration.
We can help you plan. We can have a quick call to help you hire the best generative AI developers.
- Senior & Verified. All our engineers are verified on real work & ID checks.
- Live demo. View our live demo. Trial with paid task.
- Real contract. We are a registered LLC in the US. We charge based on milestones.
- Backfilled. We will backfill the seat.
- Quick response.
Ready to hire Generative AI engineers?
Let us know what you are building so we can match you up.
Not ready? Request a free ROI estimate.
FAQs
How do I hire the best Generative AI developers?
We will have a quick discovery call to understand your requirements. We will match you with some profiled candidates. Interview engineers & hire on an hourly basis. Most engineers can start within week 1.
How much do AI engineers cost?
Hourly engineers will cost ~$35–75 an hour. A dedicated engineer costs from $5,600 per month. Fixed-price projects will typically cost between 5K-50K.
How much do Generative AI engineers earn?
It depends on their skill set & location. In-house can cost $300k+ per year (including benefits & fees).
Are AI engineers in demand?
Yes. Many teams want to upskill quickly. In-house can take months. We add verified engineers.
Can I hire 1 engineer?
Yes. We recommend hiring 1 dedicated engineer. Once your roadmap grows we can add more engineers. You will be hired on an hourly basis to complete a trial task.
Do I need to be technical?
No. Our delivery lead will manage the technical side. Everything will be explained in simple terms. All you need to do is decide what is important to you.
Tell Us What You Want to Build
Share the role, the solution and how you want to work.
- Email us[email protected]
- Call us+1 (307) 888-9667
- US-registered LLCNDA and work-for-hire IP