Hire AI & LLM Engineers for Your Startup

Hire AI engineers who ship LLM features to production. From GPT integration to RAG systems to custom models—get applied AI expertise, not research.

What You Get

  • Production AI/LLM experience
  • RAG, embeddings, and vector databases
  • Prompt engineering and optimization
  • Cost and latency optimization
  • AI safety and guardrails

Ideal For

  • Startups adding AI features to existing products
  • Companies building AI-first products
  • Teams needing LLM integration expertise
  • Founders who want production AI, not demos

Shipping AI to Production

Many teams struggle to move from AI demos to production features. Our AI engineers bridge that gap—they've shipped LLM features that serve millions of requests and know how to balance capability, cost, and latency.

What We Build

  • RAG Systems: Retrieval-augmented generation for knowledge bases and search
  • LLM Integration: GPT-4, Claude, and open-source model integration
  • Prompt Engineering: Optimized prompts for consistency and accuracy
  • AI Safety: Guardrails, content filtering, and hallucination prevention
  • Cost Optimization: Caching, batching, and model selection strategies

Production AI Expertise

We've helped startups like ToneCheck and True Probe build AI-first products. We focus on production-ready AI—not impressive demos that break in the real world. Our engineers understand the full stack from embeddings and vector databases to serving infrastructure.

Fast, Seamless Onboarding

From first call to first commit in under a week.

Day 1

Discovery Call

Understand your product, stack, and what success looks like

Day 2-3

Team Match

Match the right engineer(s) based on your needs

Day 4-5

Onboarding

Slack access, repo access, codebase walkthrough

Week 1

First Ship

First PR merged, hitting the ground running

Aravind is in the top 1% of engineers I've hired. He supported us from $100K to $5M ARR, keeping us shipping through crazy growth and investor scrutiny.
Tara Viswanathan
Co-founder & CEO, Rupa Health (Acquired by Fullscript)

Hire an AI Engineer FAQs

What is the process to hire an ai engineer?

Start with a 30-minute discovery call where we understand your needs, tech stack, and goals. We then match you with the right engineer(s) from our team. Onboarding typically takes 2-3 days, and most engineers ship their first PR within the first week.

How much does it cost to hire an ai engineer?

Our engagements are structured as monthly retainers based on the scope and seniority needed. We're transparent about pricing—book a call to discuss your specific needs and get a custom quote. There are no hidden fees or account manager overhead.

Can I hire an ai engineer for just a few months?

Yes, we offer flexible month-to-month engagements. While most clients work with us for 6-12+ months, there's no long-term lock-in. We believe in earning your continued partnership through results, not contracts.

What makes your an ai engineer different?

Our engineers have shipped products at venture-backed startups and understand the unique pressures of early-stage companies. They take ownership of outcomes, not just tasks. You get direct Slack access—no project managers or account executives in between.

Do you work with my tech stack?

Our team is full-stack and adaptable. We have deep experience with React/Next.js, Node.js, Python, TypeScript, AWS, GCP, and modern AI/LLM frameworks. We can also ramp up quickly on new technologies if needed.

Aravind Srinivas
Founder, HyperNest Labs

Former engineering leader who helped scale Rupa Health from $100K to $5M ARR. Passionate about helping startups build great engineering teams.

LinkedIn →

Ready to hire an ai engineer?

Book a 30-minute call to discuss your needs and find the right fit.