Hire LLM Engineers
Hire LLM Engineers Who Ship Production Systems
Building with large language models is hard. Finding engineers who can do it at production scale is harder. Kovil AI places elite LLM engineers matched to your stack — in 48 hours.
What You Get With a Kovil AI LLM Engineer
Every engagement includes managed delivery, milestone oversight, and our 2-week risk-free trial.
LLM engineers with real production experience — fine-tuning, RLHF, and RAG at enterprise scale
Specialists in reducing hallucinations and improving LLM reliability for business-critical workflows
Deep knowledge of open-source models (Llama, Mistral, Falcon) and proprietary APIs
LLMOps expertise — evaluation frameworks, prompt versioning, and production monitoring
Milestone-gated delivery with an Engagement Manager auditing every commit
From Brief to Shipping in 14 Days
Our process is fast, structured, and risk-free. Learn more at how it works.
Describe Your Needs
Fill a brief intake form. A Delivery Lead contacts you within 24 hours to scope your requirements, tech stack, and timeline.
Meet Your Expert
We match you with a vetted LLM Engineer in 24–48 hours. Review their profile, join an intro call, and start your 2-week risk-free trial.
Watch Results Roll In
Your first feature ships within 14 days. An Engagement Manager audits every commit. Scale up or down with zero lock-in.
Skills & Technologies
Our LLM Engineers are vetted across these tools and platforms.
Proven Results
Legal / LegalTech
LLM Contract Review Agent Trained on Firm's Own Precedent Library
94% Clause Analysis Automated
78% Faster Contract Review
Frequently Asked Questions
What does an LLM engineer do?
An LLM engineer designs, builds, and deploys systems powered by large language models. This includes fine-tuning models on proprietary data, building RAG pipelines, creating evaluation frameworks, and deploying LLMs to production with proper monitoring.
Do your LLM engineers work with open-source models or only OpenAI?
Both. Our engineers are experienced with GPT-4, Claude, and Gemini as well as open-source models like Llama 3, Mistral, and Falcon — including self-hosting on AWS, GCP, or Azure.
Can you fine-tune an LLM on our company's proprietary data?
Yes. Our LLM engineers have extensive experience with LoRA, QLoRA, and full fine-tuning techniques. We'll scope the right approach based on your data size, task, and latency requirements.
How do you handle LLM hallucinations?
We specialize in grounding strategies — RAG with structured retrieval, output validation layers, confidence scoring, and human-in-the-loop workflows. We design for reliability, not just accuracy on benchmarks.
How quickly can an LLM engineer start on our project?
Matched in 24–48 hours, onboarded within a week, first deliverable in 14 days.
What if we already have a failing LLM system?
Kovil AI's App Rescue squad audits and fixes existing LLM systems — poor retrieval, prompt failures, latency issues, and hallucinations. We can rescue and maintain it going forward.
Start Your 2-Week Risk-Free Trial
Fixed price. Milestone-gated. Zero delivery risk. Zero termination fees.