Hire Generative AI Developers — From Pilot to Production
Stuck in GenAI pilot purgatory? CompanyBench matches you with pre-vetted developers who fine-tune, deploy, and productionize LLM applications — not just call an API. Available on contract, contract-to-hire, or full-time.
Why Hire a Generative AI Developer
Your team can call an LLM API. That's not the hard part anymore. The hard part is getting a GenAI feature past the demo — handling hallucinations, controlling inference cost at scale, fine-tuning on your own data, and integrating it safely into a product people actually use.
Most in-house teams have the first skill and not the second. A generative AI developer closes that gap — turning a working prototype into a reliable, production-grade system.
Not sure your team is set up to use one effectively yet? Run through our AI Readiness Checklist before you hire — it covers the use case, data, infrastructure, and ownership questions worth answering first.
GenAI Developers by Sub-Specialty
Tell us which sub-specialty your project needs — we match accordingly from our pre-vetted pool.
LLM Integration
Wiring frontier and open-source models into your product via API or self-hosted inference.
Core Stack
Fine-Tuning
Adapting models to your own data with LoRA, QLoRA, SFT, and RLHF/DPO.
Core Stack
RAG & Deployment
Retrieval-augmented pipelines, vector databases, and production-grade model serving.
Core Stack
Skills & Tech Stack We Cover
Our GenAI developers have deep expertise across the full breadth of LLM tooling.
LLM Integration
Frameworks
Fine-Tuning
RAG & Retrieval
Deployment & Ops
How It Works
From requirements to a shipping developer, in days.
Share Requirements
Tell us your use case, target models, and project scope.
Get Matched
Receive 2-3 pre-vetted GenAI developer profiles within days.
Interview & Select
Evaluate expertise and fit with your shortlisted candidates.
Onboard & Ship
Most hires are productive and shipping within a week.
Industries We've Staffed For
Compliant chatbots, RAG-based search, and AI-driven content and automation across regulated and high-growth industries.
How We Vet Every Generative AI Developer
Every developer you meet through CompanyBench has already cleared a 5-stage vetting process built to filter for real production experience — not just interview performance.
Skills & Portfolio Screening
We review resumes, portfolios, GitHub activity, and prior project history to confirm hands-on production experience in the relevant stack before a candidate moves forward — not just listed keywords.
Role-Specific Technical Assessment
Each candidate completes a scored technical assessment built for their specific role — a coding exercise, system-design problem, or take-home task modeled on real project scenarios, not generic puzzles.
Live Technical Interview
A senior engineer in the same stack runs a live technical interview — pair-programming, architecture discussion, or a scenario walkthrough — to validate depth beyond what a written test can show.
Communication & Remote-Work Readiness
We assess English fluency, async communication habits, and remote-collaboration readiness, since every engineer works directly inside your team's workflow and tools.
Reference & Background Verification
We verify prior employment or client references and confirm identity and work history before a candidate is added to the talent pool.
Skills & Portfolio Screening
We review resumes, portfolios, GitHub activity, and prior project history to confirm hands-on production experience in the relevant stack before a candidate moves forward — not just listed keywords.
Role-Specific Technical Assessment
Each candidate completes a scored technical assessment built for their specific role — a coding exercise, system-design problem, or take-home task modeled on real project scenarios, not generic puzzles.
Live Technical Interview
A senior engineer in the same stack runs a live technical interview — pair-programming, architecture discussion, or a scenario walkthrough — to validate depth beyond what a written test can show.
Communication & Remote-Work Readiness
We assess English fluency, async communication habits, and remote-collaboration readiness, since every engineer works directly inside your team's workflow and tools.
Reference & Background Verification
We verify prior employment or client references and confirm identity and work history before a candidate is added to the talent pool.
Frequently Asked Questions
Everything you need to know about hiring generative AI developers through CompanyBench.
They integrate and fine-tune large language models, build RAG pipelines, and deploy GenAI features into production systems — going beyond simply calling an API.
The terms overlap. An LLM engineer typically focuses more deeply on model fine-tuning and evaluation, while a generative AI developer covers broader application integration.
Yes. Our vetting process screens for real fine-tuning experience, such as LoRA and QLoRA, not just prompt engineering on frontier APIs.
Rates are significantly below US/EU market rates for equivalent experience. Contact us for a role-specific quote based on scope and seniority.
Contract, contract-to-hire, and full-time — suited to bounded pilots as well as long-term AI product roadmaps.
Every Generative AI Developer goes through a 5-stage process — skills and portfolio screening, a role-specific technical assessment, a live technical interview with a senior engineer, a communication and remote-readiness check, and reference verification — before joining the talent pool.
Related Resources
Compare adjacent talent pools and browse the full CompanyBench index.
AI Readiness Checklist
Run through this checklist before you hire — is your team actually ready for a generative AI developer?
Hire LLM Engineers
Closest adjacent page — fine-tuning, evaluation, and production LLM deployment.
Hire RAG Developers
RAG is a core LLM engineering skill — a dedicated retrieval-pipeline specialist.
Hire AI Developers
Broader AI/ML, GenAI, and MLOps hiring — see all three tracks.
Hire Data Engineers
Data pipeline expertise for RAG and fine-tuning workflows.
Hire Python Developers
GenAI development is Python-first — an adjacent hiring decision for most teams.
Browse All Tech Stacks
See the full CompanyBench pre-vetted talent index.