Hire LLM & Generative AI Engineers

Recruitment for teams building with large language models

Find engineers who build reliable LLM-powered products — retrieval, agents, evaluation and the infrastructure behind them.

Finding LLM Engineers Who Build More Than Demos

Since capable large language models arrived, almost every engineer has experimented with them. Far fewer have shipped LLM features that are accurate, fast, secure and affordable for real users. That gap is what separates a strong LLM engineer from a CV full of the right buzzwords.

We have recruited in AI since the early 2020s and know how to tell the difference. We help US startups hire generative AI engineers who can take a product from prototype to production.

LLM Application Engineers

Build product features on top of language models, from prompts and tool use to user-facing workflows.

Retrieval & Search Engineers

Design retrieval-augmented generation (RAG), embeddings, vector search and ranking that keep answers grounded.

AI Agent Engineers

Build multi-step agents and orchestration that call tools, APIs and other systems reliably.

Evaluation & Quality Engineers

Create the test sets, metrics and evaluation pipelines that tell you whether your AI is getting better.

Fine-tuning & Model Engineers

Adapt and optimise open or proprietary models for your data, latency and cost targets.

AI Infrastructure Engineers

Run inference, caching, observability and cost controls so LLM features scale with your users.

Skills We Look For in LLM Engineers

A shipping record. LLM features in production with real users, and what they learned from them.
Evaluation discipline. A structured approach to measuring quality rather than judging outputs by eye.
Retrieval and data skills. Chunking, embeddings, ranking and keeping knowledge sources up to date.
Reliability and safety. Handling hallucinations, prompt injection, privacy and failure modes gracefully.
Cost and performance awareness. Balancing model choice, latency and spend as usage grows.
Strong software engineering. APIs, testing, observability and working in a product team.

LLM Engineer, ML Engineer or Software Engineer?

Many successful generative AI products are built by strong software engineers who have gone deep on LLMs, rather than by ML researchers. Others need someone with real model-training experience. Before we start searching, we help you decide which profile fits your product, your existing team and your budget — so you don’t spend months chasing the wrong candidate.

If you need someone to train and deploy your own models, see how we help you hire machine learning engineers.

Built for Startup Hiring

Generative AI engineers are in high demand, and startups compete with large companies for the same people. We help you present a compelling, credible opportunity, give you honest feedback on compensation, and move quickly so strong candidates don’t drift away mid-process.

Hiring your first AI engineer? Read about our founding AI engineer search, or see our wider AI staffing services.

Frequently Asked Questions

Hiring for Generative AI?

Tell us what you’re building and we’ll help you define the role and find engineers who have shipped it before.