LLM Engineers

Hire an LLM Engineer —
Matched in 48 Hours.

Vetted Tier-1 LLM engineers embedded into your team. RAG systems, fine-tuning, AI agents, prompt engineering, LLM API integration — sprint-delivered, Engagement Manager audited.

Two-week risk-free trial. No lock-in.

< 48h

Time to match

Top 1%

Engineer tier

100%

IP ownership

2 weeks

Risk-free trial

What They Build

What Can an LLM Engineer Build for You?

RAG Systems & Knowledge Bases

Retrieval-augmented generation pipelines over your docs, PDFs, databases. Accurate, source-attributed, hallucination-minimised.

LLM Fine-Tuning

Fine-tune GPT, Claude, Llama, Mistral on your proprietary data. Domain-specific performance without full retraining costs.

AI Agents & Tool Use

Autonomous agents that plan, call APIs, query databases, and execute multi-step workflows without human intervention.

Prompt Engineering & Evaluation

Systematic prompt design, evaluation frameworks, regression testing, and output quality scoring for production LLM apps.

LLM API Integration

Connect OpenAI, Anthropic, Google, or open-source models to your product. Streaming, caching, cost optimisation, fallback routing.

LLMOps & Production Reliability

Model versioning, latency monitoring, cost dashboards, prompt regression pipelines, hallucination detection in production.

Who It's For

Who Should Hire an LLM Developer Through Kovil AI?

SaaS Products Adding AI Features

You need to embed LLM capabilities into your product — smart search, AI writing assistant, copilot features — without hiring a full AI team.

Enterprises Building Internal AI Tools

Your team needs internal LLM tools — document Q&A, contract analysis, knowledge base chatbots — built to your security and compliance standards.

CTOs & Heads of Product

You know what LLM needs to power but can't hire fast enough. Sprint-gated delivery, one point of contact, no hallucinating demos.

How It Works

How Do You Hire an LLM Engineer with Kovil AI?

01Day 1

Brief Your Needs

Fill a 5-minute intake form describing your LLM use case, data situation, and tech stack. A Delivery Lead contacts you within 24 hours to scope requirements and identify the right specialist.

  • 5-minute async intake
  • Delivery Lead assigned same day
  • Use case & stack matched
02Days 2–3

Meet Your Engineer

We surface 2–3 hand-picked LLM engineers with proven experience in your domain — RAG, agents, fine-tuning, or LLMOps. You review profiles, join intro calls, and choose your fit.

  • Curated match — not a marketplace
  • Live intro call included
  • Milestone plan agreed upfront
03Week 1 onwards

Sprint & Deliver

Your engineer works in focused sprints. An Engagement Manager audits every milestone output. You get working, production-ready LLM systems — not demos or prototypes.

  • Weekly milestone check-ins
  • Engagement Manager quality audit
  • Two-week risk-free trial

Ready to hire an LLM engineer?

Tell us your use case. Matched in 48 hours. 2-week risk-free trial.

What's Included

What's Included When You Hire an LLM Developer Through Kovil AI?

Tier-1 Vetted LLM Engineers

Every LLM engineer passes a rigorous 5-stage vetting — LLM fundamentals, prompt engineering, system design, production deployment, and live delivery simulation.

Engagement Manager Oversight

A senior Kovil AI lead audits every milestone before it reaches you. Output quality, hallucination rates, latency — all checked against your requirements.

Sprint-Based Delivery

Work happens in structured weekly sprints with clear deliverables and success criteria. Not open-ended hours billed to a vague ticket queue.

LLM Domain Depth

Specialists across RAG architecture, fine-tuning, agent frameworks, prompt engineering, LLMOps, and multi-model orchestration for production systems.

Production-Ready Systems

We don't just build demos — we deploy. Streaming, caching, cost optimisation, fallback routing, latency monitoring, and hallucination detection included.

Evals & LLMOps Included

Your engineer handles evaluation frameworks, regression pipelines, model versioning, cost dashboards, and CI/CD for LLM apps — end to end.

What to Expect

What Should You Expect When Hiring an LLM Engineer?

Day 1

Submit Your Brief

Fill a 5-minute intake form. A Delivery Lead calls you within 24 hours to scope your LLM requirements, data situation, and preferred models and stack.

Day 2–3

Meet Your Shortlist

We surface 2–3 LLM engineers matched to your use case — RAG, fine-tuning, agents, or LLMOps. You review profiles, join intro calls, and choose your fit.

Day 3–4

Milestone Plan Locked

You and your engineer agree a sprint plan — deliverables, quality benchmarks, evaluation criteria, and timelines before any work begins.

Week 1+

Sprint & Deliver

Your engineer works in focused sprints. Your Engagement Manager audits every output. You review at each milestone checkpoint with working, testable deliverables.

Ongoing

Scale or Wind Down

Add engineers, extend sprints, or wind down — no lock-in. You stay because it's working, not because you're contracted.

Why Kovil AI

How Does Kovil AI Compare to Other Ways to Hire an LLM Developer?

Kovil AIIn-House HireBig AgencyFreelancer
Time to start24–48 hours2–4 months2–4 weeks1–2 weeks
LLM specialisationDeep domainVariesVariesVaries
Managed delivery✓ AlwaysPartial
Risk-free trial✓ 2 weeksRarely
Production deploy✓ IncludedDependsExtra costVaries
IP ownership100% yours100% yoursOften sharedVaries

FAQ

Frequently Asked Questions About Hiring LLM Engineers

Explore More

Ready to hire your LLM engineer?

Tell us your use case. Matched in 48 hours. 2-week risk-free trial.