AI-Native Engineers, Ready to Ship
QuilinX places engineers who are fluent in modern AI tooling — LLMs, RAG pipelines, vector databases, and agentic systems — directly into your product teams.
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What are Applied LLM/AI Engineers?
The AI landscape moves faster than traditional hiring can keep up with. QuilinX's AI Engineers are a curated bench of engineers who have shipped production AI systems — not just completed courses. We match them to your team's stack, culture, and velocity.
Production-proven AI engineers
Every engineer has shipped real AI features — RAG, fine-tuning, agents, or inference pipelines.
Full-stack AI capability
From prompt engineering and LLM integration to MLOps and vector search infrastructure.
Rapid onboarding
Our engineers are used to joining fast-moving teams and contributing within the first sprint.
Flexible engagement
Staff augmentation, project-based, or long-term embedded — we match the model to your need.
AI capabilities we staff for
LLM integration & prompt engineering
OpenAI, Anthropic, Gemini, Mistral — production-grade API integration and prompt design.
RAG & knowledge systems
Retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, pgvector), and document ingestion.
Agentic systems
LangChain, LlamaIndex, AutoGen — multi-step reasoning agents with tool use and memory.
MLOps & inference
Model serving, fine-tuning pipelines, evaluation frameworks, and cost optimisation.
Why QuilinX for AI staffing
Skip the learning curve
You get engineers who have already made the mistakes — and know how to avoid them.
Vetted for AI fluency
Our technical assessment goes beyond LeetCode — we test real AI system design and implementation.
Matched to your stack
We don't send generic profiles. Every placement is matched to your specific AI toolchain.
Ongoing support
QuilinX stays engaged post-placement to ensure the engineer is performing and the team is happy.
Build your AI team today
Tell us what you're building and we'll match you with engineers who have done it before.