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Hire Generative AI Developers

Hire vetted Generative AI Developers through Hevcode: fully remote, starting in 48 hours, with timezone-overlap working hours and a risk-free trial. 534+ projects shipped over 6 years.

Get skilled generative AI developers to build LLM apps, image generation, content tools, and multimodal features. Fine-tuning and production deployment included. Start in 48 hours.

Prefer email? Reach me at contact@hevcode.com.

534+ projects delivered | 273+ verified reviews | Start in 48 hours

Last updated: June 2026

Looking to hire generative AI developers who can take a model and turn it into a product feature people actually use? Our developers build across the generative stack: large language models for text, diffusion models for images, and multimodal systems that combine text, image, and audio, all wired into real apps with the right guardrails.

Generative AI breaks in production in ways a notebook never shows. You need control over output quality and safety, fine-tuning or prompting that matches your domain, reasonable latency and GPU cost on diffusion and large models, content moderation, and a deployment path that scales. Most developers can run a model once. Ours have shipped generative features that stay consistent, on-brand, and affordable under real usage.

Whether you are building an AI content generator, an image creation tool, a brand-safe writing assistant, or a multimodal feature, we match you with developers who know LLMs, diffusion, fine-tuning, and how to deploy all of it reliably.

Technical Skills

Our developers are proficient in these technologies and more

Large Language Models

  • GPT, Claude & Gemini APIs
  • Open models (Llama, Mistral)
  • Prompt engineering & RAG
  • Structured & controlled output
  • Text generation & summarization
  • Hugging Face Transformers

Image & Multimodal

  • Stable Diffusion & SDXL
  • DALL-E & Imagen integration
  • ControlNet & LoRA
  • Image-to-image & inpainting
  • Vision-language models
  • Text-to-speech & audio generation

Training & Fine-Tuning

  • Fine-tuning & LoRA/PEFT
  • Dataset preparation & curation
  • Embeddings & vector search
  • Evaluation & quality metrics
  • PyTorch & diffusers
  • Model selection & benchmarking

Deployment & Safety

  • GPU inference & optimization
  • Content moderation & guardrails
  • Python & API integration
  • Latency & cost tuning
  • Cloud GPU (AWS, Replicate, RunPod)
  • Scaling & monitoring

Why Hire Through Us

Benefits of hiring developers through Hevcode

Pre-Vetted GenAI Experts

Every developer is assessed on real generative work: LLMs, diffusion, fine-tuning, and safe production output, not just running a model once.

Quick Onboarding

Your generative AI developer starts within 48 hours, ready to build text or image features into your product fast.

Flexible Engagement

Hire hourly, part-time, or full-time. Bring an expert in for a prototype or scale into a full generative product.

Direct Communication

Work directly with the developer building your models and pipelines. No layers between you and the work.

Timezone Overlap

We guarantee 4+ hours of overlap so you can review generated outputs and iterate on quality together in real time.

Risk-Free Trial

Start with a 1-week risk-free trial. If the developer is not the right fit, you pay nothing.

Engagement Models

Flexible hiring options to match your needs

Dedicated Developer

A full-time generative AI developer owning your feature end to end, from model choice and fine-tuning to deployment, safety, and cost.

Ideal for: Products with a core generative feature or ongoing AI roadmap

Development Team

A managed team with generative AI engineers, an ML/data specialist, backend developers, QA, and a project manager for full delivery.

Ideal for: Complex generative platforms needing end-to-end build and scaling

Hourly/Part-Time

Flexible hours to prototype a generator, fine-tune a model, tune diffusion output, or cut GPU costs. Pay only for time worked.

Ideal for: Proof of concepts, fine-tuning jobs, output quality fixes, consulting

Hiring Process

Simple 4-step process to get your developer

1

Share Requirements

Tell us what you want to generate, text, images, or multimodal, your quality and safety needs, and your budget. We scope the model and pipeline.

2

Developer Matching

Within 24 hours we present 2-3 vetted generative AI developers matched to your use case and models, with profiles and prior work.

3

Interview & Select

Interview the candidates, review their LLM, diffusion, and fine-tuning experience, and select the developer who fits best.

4

Start Building

Your developer joins within 48 hours. We set up GPU access, environments, and communication, then start building and evaluating your generative feature.

Frequently Asked Questions

Common questions about hiring developers

What is the experience level of your generative AI developers?

Our generative AI developers have strong Python and ML backgrounds with production experience across LLMs and diffusion models. They work with GPT, Claude, and open models like Llama, build image generation with Stable Diffusion and SDXL, and handle fine-tuning, evaluation, and safe deployment.

How quickly can a generative AI developer start on my project?

We can onboard a developer within 48 hours of selection. Many begin with a focused prototype so you see real generated text or images in the first days, then build it into a production feature.

What if the generative AI developer is not a good fit?

You get a 1-week risk-free trial. If the developer is not the right fit, we replace them at no cost or refund you in full. After the trial we can still swap developers with one week of notice.

Do your generative AI developers work in my timezone?

Yes. We guarantee at least 4 hours of overlap with your working hours. That overlap matters for generative work because judging output quality, whether copy or images, is subjective and moves fastest when you review samples together.

Can you fine-tune a model on my own data or brand?

Yes. Our developers fine-tune LLMs and diffusion models using techniques like LoRA and PEFT so output matches your domain, tone, or visual style. They handle dataset preparation, training, and evaluation, and advise when fine-tuning is worth it versus prompting or RAG.

How do you keep generated content safe and costs reasonable?

Our developers add content moderation and guardrails so output stays brand-safe, and they optimize cost by choosing the right model, tuning inference, batching, and using efficient cloud GPU providers like Replicate or RunPod. They also monitor usage so spend stays predictable as you scale.

Ready to Hire Generative AI Developers?

Get matched with expert generative AI developers in 24 hours. Ship LLM, image, or multimodal features in 48 hours.

Or email contact@hevcode.com.

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