LLM Application Developers
Engineers who have built and shipped production LLM applications — prompt engineering, RAG, fine-tuning, cost optimisation, and monitoring.
Not a bootcamp graduate who learned about transformers last month. A senior engineer with real, verifiable experience deploying AI systems that work at scale.
50+
Clients
100+
Projects
5+
Years
98%
Satisfaction
What We Do
The AI talent market is flooded with candidates who know the theory but have never shipped a production system. Foundrex connects you with AI developers who have built and deployed LLM applications, RAG systems, ML pipelines, and agentic workflows in real enterprise environments — with references and portfolios to prove it.
Services Included
Engineers who have built and shipped production LLM applications — prompt engineering, RAG, fine-tuning, cost optimisation, and monitoring.
Engineers who build, train, and deploy machine learning models with production MLOps experience across the full model lifecycle.
Full-stack engineers who can build AI-powered features into your product — from the model API to the user interface.
Engineers specialising in retrieval systems, vector databases, embedding pipelines, and knowledge base AI.
Why Foundrex
Every AI developer in our pool has shipped real systems to real users. We verify this with portfolio review and technical assessment before they join our network.
We present matched profiles within 48 hours of receiving your requirements. No weeks of recruiter back-and-forth.
Traditional recruiters charge 15–25% of first-year salary. Our model has no upfront placement fee.
If the engineer is not the right fit within the first 30 days, we find a replacement at no additional cost.
How We Work
Tell us the role, tech stack, experience level, and engagement type — we handle the rest.
We match from our vetted pool and send you 2–3 profiles with portfolios and technical assessments within 48 hours.
Interview your way — we arrange it and provide context on each candidate.
We handle the contract, NDA, and onboarding so the developer is coding with your team within the week.
Common Questions
A data scientist focuses on analysis, experimentation, and model research. An AI developer focuses on building production systems — APIs, pipelines, integrations, and deployment infrastructure. Most production AI projects need both, but they are distinct skill sets.
LLM application developers, ML engineers, RAG specialists, computer vision engineers, NLP engineers, and full-stack engineers with AI integration experience.
Yes, from 20 hours per week minimum. Many clients start part-time during evaluation phases then move to full-time as scope grows.
Tell us what you need. We'll match you with a pre-vetted AI engineer who has actually done it before.
Book a Free Consultation →