Hire LLM engineers
Senior engineers who build production systems on language models: retrieval, agents, evaluation and guardrails, with shipped systems behind them.
LLM engineers available, ready to start within weeksWhat an LLM engineer brings to your team
An LLM engineer is a software engineer who treats the model as a component: grounded through retrieval, constrained by guardrails, measured by an evaluation harness and wired into your systems with the permissions and logging a business needs.
Our LLM engineers have shipped production systems, including the retrieval-based parts assistant we built for Mayster, and they bring the habits that separate demos from systems: test sets before features, citations before confidence, and identity discipline before any agent touches live data.
- Senior by default: 5+ years of commercial experience and a reviewed work sample.
- You interview every hire; we place no one you have not signed off.
- Your process, your repo and your tools, followed from day one.
What our LLM engineers build
The work our LLM engineers ship, from day one.
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RAG knowledge systems
Assistants grounded in your documents with citations and permissions, like the Mayster parts assistant in our case studies.
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AI agents
Workflow agents with scoped identities, tool access and human approval at the consequential steps.
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Evaluation infrastructure
Test sets, metrics and regression gates that make model and prompt changes safe to ship.
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LLM integrations
Language-model features inside existing products, with the gateway, logging and fallbacks production demands.
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Model strategy
Choosing and benchmarking hosted and open models per task, including the fine-tune-or-retrieve decision.
A simple process, measured in days
- 1 Step 01
Discovery call
The role, your stack and your working norms, in 30 minutes.
- 2 Step 02
Shortlist in days
Senior candidates with work samples and references.
- 3 Step 03
You interview
Every hire clears your bar before joining.
- 4 Step 04
Onboarding
Into your repo and tools, paired on the first sprint.
- 5 Step 05
Scale up or down
A 30-day rolling notice, no minimum term beyond the first month.
Senior engineers ready now, not in a quarter.
We keep vetted people available, so you get a shortlist in days and a start in weeks. A 30-day rolling notice, no long lock-in.
Frequently Asked Questions
How fast can I hire LLM engineers?
You get a shortlist of vetted candidates within a few days. Most engineers start two to four weeks after the brief.
How is an LLM engineer different from an ML engineer?
LLM engineers build on top of foundation models: retrieval, agents, evaluation and integration. ML engineers train and operate predictive models on your data. Many products need both, in sequence.
Have they shipped real systems?
Yes, and we vet for exactly that: production retrieval or agent systems with users, not notebook experiments.
Can we interview candidates before they start?
Yes. You interview every candidate and decide who joins your team.
Can we scale the team later?
Yes, up or down with a 30-day notice, through staff augmentation for individuals or team augmentation for a whole squad.
Add a senior LLM engineer to your team
A 30-minute call to scope the role, the seniority and the start date. You interview every hire.