LLM Engineering

Hire LLM
Engineers.Fine-Tuning. RAG. Evals. Prompt Systems.OpenAI. Claude. Llama. Mistral.Reliable LLM features in weeks, not months.AI-Augmented from Day One.

Q: When should I fine-tune vs use RAG?

Use RAG when answers must come from current or proprietary documents — cheaper, faster, and easy to update. Use fine-tuning (often LoRA/QLoRA) when you need a consistent style, format, or domain behavior the base model cannot reliably produce. Many production systems combine both, and an LLM engineer will measure which path actually moves your quality metrics.

Q: Which models and tools do your LLM engineers use?

We work across OpenAI GPT, Anthropic Claude, Google Gemini , and open models like Llama and Mistral , with tooling for prompt management, eval frameworks, vector databases, and fine-tuning pipelines. We select based on accuracy, latency, privacy, and cost — not lock-in.

Custom Starting price
LLM Engineer

Hire dedicated LLM engineers who handle fine-tuning vs RAG decisions, build evaluation harnesses, and design prompt systems that make language-model features reliable — 10-20X faster with AI Agent Teams.

Get a Free Quote Calculate Savings →

Trusted by 247+ companies worldwide AI speed. Production-grade rigor.

Code Reviews on Every PR 95%+ Test Coverage Production-Grade CI/CD Architectural Best Practices

Top-rated on Clutch, GoodFirms & more — with 100+ 5-star reviews.

Trusted by 200+ companies worldwide

The AI-First Difference

How One Engineer Replaces Eight

Our engineers don't work alone. They orchestrate 6+ specialized AI agents that handle product strategy, design, code generation, testing, DevOps, and security in parallel. Think conductor + orchestra, not solo performer.

6+ AI Agents

Working in parallel

10-20X Velocity

Vs traditional teams

Production-Grade

Senior engineers + AI tools

Side-by-Side Comparison

Traditional Team vs AI-First Engineer

Traditional Team (8 people)

AI-First Engineer (1 person)

Recommended

01 Monthly Cost

$64,000 - $120,000

$3,520 - $7,040

02 Hiring Time

2-3 months per role

1-2 weeks

03 Onboarding

1-2 months per person

1 week

04 Communication Overhead

High (8 people to coordinate)

Minimal (1 engineer + AI agents)

05 Development Speed

1× (baseline)

10-20× faster

06 Quality Assurance

Manual + Limited automation

AI-powered comprehensive testing

07 DevOps Setup

Weeks to configure

Days with AI automation

08 Code Review

Manual, time-consuming

AI-assisted, instant feedback

09 Documentation

Often incomplete

Auto-generated, always current

10 Scaling

Hire 8 more people

Add 1 more AI engineer

80-90% Cost Savings

10-20X Faster Delivery

1 Engineer Replaces 8 Specialists

Get a Personalized Cost Estimate →

What You Get

One AI-First Engineer = Full Product Team

Product Manager

Strategic planning, requirement gathering, prioritization, and roadmap definition powered by AI insights.

UI/UX Designer

AI-generated designs, wireframes, prototypes, and design systems that follow best practices.

Full-Stack Developer

Production-grade code for frontend, backend, APIs, and databases with AI code generation.

QA Engineer

AI-powered testing strategies, automated test generation, and comprehensive quality assurance.

DevOps Engineer

CI/CD pipelines, infrastructure as code, monitoring, and automated deployments.

Security Expert

Automated security scanning, vulnerability detection, and compliance checks built-in.

Explore the AI Talent Cluster

Build a complete AI-First team

One specialist rarely ships alone. Pair this role with the rest of our AI-First engineering team to take features all the way to production.

AI-First Engineers Full-stack AI delivery, embedded in your team ML Engineers Production models, MLOps & data pipelines Generative AI Developers RAG systems, LLM apps & fine-tuning AI Agent Developers Autonomous & multi-agent orchestration Freelancer vs Agency vs AI-First Compare hiring models before you commit AI for Fintech Fraud detection, risk scoring & compliance AI for Healthcare Clinical AI & HIPAA-compliant builds AI for Legal Contract review & legal research AI AI for Logistics Routing, demand forecasting & scale

Get a free quote 1-week risk-free trial · Start in 48 hours · 247+ projects delivered

Success Stories

Production Systems We've Built

View Case Study

Annainzu

Annainzu seeks to help you through the complex rules of Annainzu. This platform was developed to improve functionalit...

View Case Study

FootBizz

FootBizz is a B2B networking platform designed for the global footwear industry, connecting manufacturers, wholesaler...

View Case Study

HappyKamper

We developed a mobile and web application designed to help parents discover and book fun, engaging activities for the...

View Case Study

ScrapC

Scrapc Marketplace is an innovative platform designed to simplify the buying and selling of recyclable materials on a...

Discover More Projects

See How Fast We Can Ship Your LLM Feature

Get a free project estimate and see how much faster our AI-First LLM engineers can deliver reliable fine-tuning, RAG, and prompt systems.

Fractional CTO + AI-First Engineering

See How Much You Save

Traditional team: $650K-1M/year. Fractional CTO + AI-First engineers: $240-420K/year. Calculate your exact savings below.

Project Duration

6 months

Traditional Team Size

8 specialists

Avg. Salary per Specialist

$8,000 /month

AI-First Engineers

1 AI-First engineer

Traditional Team + CTO Cost

$384,000

8 specialists + CTO ($25K/mo) x 6 months

Fractional CTO + AI Team

$21,120

Fractional CTO + 1 AI engineer x 6 months

Total Savings
$362,880
94% cost reduction

Time Saved

4 months

3x faster delivery with strategic CTO guidance

Get Started Today

Fractional CTO included · No long-term commitment · Cancel anytime

Need a project-level estimate? Try our App Cost Calculator →

Our Process

How AI Agent Teams Deliver Your Project

Discovery & Strategy

AI agents analyze requirements and market data to build a precise blueprint.

1-3 Days

Architecture & Design

AI-first system design with UI/UX prototypes and technical planning.

3-5 Days

AI Sprint Build

6 AI specialists work in parallel at 10-20X velocity with continuous integration.

1-4 Weeks

QA & Launch

Automated testing validates every component. Zero-downtime deployment from day one.

2-3 Days

Iterate & Scale

AI agents monitor, optimize, and ship improvements. Evolve faster than competition.

Ongoing

Book AI Strategy Call Hire AI-First Engineer

Zero-Risk Hiring

Your Investment is Protected

Every engagement comes with built-in protections so you can hire with confidence.

1-Week Risk-Free Trial

Work with your AI-First Engineer for a full week. Not the right fit? You pay nothing.

48-Hour Replacement

If your engineer is not the right fit, we assign a replacement within 48 hours at no extra cost.

100% IP Ownership

Every line of code, every design, every document belongs to you. Full NDA signed on day one.

Milestone-Based Payment

Pay for results, not hours. Payments tied to clear deliverables you approve at each stage.

Cancel Anytime

No 12-month lock-ins. No penalties. Month-to-month flexibility after your initial sprint.

How We Work With You

AI-First Engagement Models

Sprint-Based AI Build

Fixed scope. AI Agent Teams. Delivered in weeks.

Define the scope, and our AI Agent Teams deliver production-grade software in 2-10 week sprints. You get a fixed price, clear milestones, and working software — not decks and wireframes.

Best for:

MVPs and new product launches
Feature builds with clear requirements
System modernization projects
AI architecture audits

$3K - $60K

1-10 weeks

Embedded AI-First Team

Your team, AI-augmented. Full-time or part-time.

Our AI-augmented engineers integrate directly with your existing team. They bring AI Agent Teams methodology — meaning each engineer operates at 3-5X the output of a traditional developer.

Best for:

Ongoing product development
Scaling engineering without scaling headcount
Teams adopting AI-First practices
Long-term partnerships

Custom pricing

Monthly

Fractional AI-First CTO

Strategic AI leadership on demand.

A battle-tested AI architect embedded in your leadership team. Architecture reviews, AI strategy, team training, vendor evaluation, and technical roadmap — without the $300K+ full-time CTO cost.

Best for:

Startups without a technical co-founder
Companies beginning AI transformation
Architecture decisions and code reviews
AI infrastructure cost optimization

$5K - $15K/mo

Ongoing

Book AI Strategy Call

FAQ

Frequently Asked Questions About Hiring LLM Engineers

When should I fine-tune vs use RAG?

Use RAG when answers must come from current or proprietary documents — cheaper, faster, and easy to update. Use fine-tuning (often LoRA/QLoRA) when you need a consistent style, format, or domain behavior the base model cannot reliably produce. Many production systems combine both, and an LLM engineer will measure which path actually moves your quality metrics.

What does "evals" mean and why do I need them?

Evals are automated tests that score LLM output quality against your own criteria. Without them you are shipping on vibes. We build eval harnesses so you can compare prompts, models, and fine-tunes objectively and catch regressions before users do.

Which models and tools do your LLM engineers use?

We work across OpenAI GPT, Anthropic Claude, Google Gemini, and open models like Llama and Mistral, with tooling for prompt management, eval frameworks, vector databases, and fine-tuning pipelines. We select based on accuracy, latency, privacy, and cost — not lock-in.

How do you control LLM cost and latency?

We right-size models per task, cache and batch where possible, tune prompts and context to cut tokens, and add routing so cheap models handle easy requests. We measure cost-per-request alongside quality so the feature stays viable at scale.

Is there a risk-free trial?

Yes — a 1-week risk-free trial, no questions asked. If the output is not right in week one, you pay nothing. We also offer a 48-hour replacement guarantee.

Who owns the prompts, evals, and fine-tuned models?

You do — 100%. We sign an NDA on day one, and all prompts, eval suites, pipelines, and fine-tuned model artifacts transfer fully to you. No lock-in.

$156K Annual Savings

15X Velocity Gain

90% Cost Reduction

View All Case Studies

Ready to Hire an LLM Engineer?

Join 200+ companies who ship reliable LLM features 10-20X faster with Groovy Web's AI-First engineers.

Hire LLM Engineer →

1-week risk-free trial · No long-term commitment · Start in 48 hours · Cancel anytime

Hire LLM
Engineers.Fine-Tuning. RAG. Evals. Prompt Systems.OpenAI. Claude. Llama. Mistral.Reliable LLM features in weeks, not months.AI-Augmented from Day One.

How One Engineer Replaces Eight

Traditional Team vs AI-First Engineer