Hire · LLM Developers

Hire LLM Developers

Plenty of developers can call an LLM API. Far fewer have kept an LLM feature accurate after real users got hold of it.

  • Senior, pre-vetted engineers only
  • You interview and choose before anyone starts
  • Working-hours overlap with India, the UK and the USA
48-hour turnaround · free · no obligation

Talk to us about hiring LLM developers

Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.

No spam. One senior engineer, one follow-up. We reply within 48 hours.

5.0 on Clutch·200+ projects·Production AI in 3 to 8 weeks

In short

The quick answer

Our LLM developers build on GPT, Claude and open models, write the evaluation sets that catch regressions, and deploy to your cloud, private cloud or on-premises.

The role

What our LLM developers do

What our LLM developers build

  • LLM-powered product features and internal copilots
  • Fine-tuned and instruction-tuned models on your own data
  • Private LLM deployments where data cannot leave your environment
  • Evaluation suites that measure accuracy before and after every change
  • Guardrails for hallucination, prompt injection and sensitive data

When to hire a LLM developer

  • You have an LLM prototype that needs to become a reliable production feature
  • You need a private model because data cannot go to a public API
  • Your team lacks evaluation and guardrail experience
  • You want to cut model cost or latency without losing quality

Skills

Skills and stack

  • OpenAI GPT
  • Anthropic Claude
  • Llama and Mistral
  • Hugging Face
  • vLLM
  • LangChain
  • LlamaIndex
  • Python
  • FastAPI

Process

How hiring works

  1. 01

    Share your needs

    Tell us the stack, the problem and how you want to work. We confirm fit on a short call.

  2. 02

    Interview the shortlist

    We send profiles of pre-vetted senior engineers who match your stack and domain. You interview and choose.

  3. 03

    Onboard and ship

    Your engineers onboard and start delivering without a long recruiting cycle, with working software at the end of each sprint.

Engagement models

Three ways to work with us

Staff augmentation

Add one or two senior engineers to your existing team to close a specific skill gap. Your leads, our specialists.

Dedicated team

A small senior team working only on your roadmap, with a lead who owns delivery.

Defined project

A scoped build such as a RAG system, a model or a pipeline, delivered to an agreed outcome.

Related work

See similar systems in production

FAQ

Hiring LLM developers: FAQs

What does an LLM developer do?

An LLM developer designs, builds and runs features powered by large language models: choosing the right model, writing and testing prompts, connecting the model to your data, fine-tuning where it helps, and adding evaluation, monitoring and guardrails so the feature stays accurate in production.

Can your LLM developers work with open-source models?

Yes. Alongside GPT and Claude, our developers deploy and fine-tune open models such as Llama and Mistral, including fully private deployments on your own cloud or on-premises hardware when data must stay in your environment.

How quickly can an LLM developer start?

We send profiles of pre-vetted senior developers who match your stack, you interview the shortlist, and the developers you choose onboard without a long recruiting cycle. Most engagements ship production AI in 3 to 8 weeks.

Do you fine-tune models or only use prompts?

Both. Many problems are solved with retrieval and good prompting, which is cheaper to run and easier to update. We recommend fine-tuning only when evaluation shows it improves accuracy, tone or cost enough to justify it.

Who owns the code and models?

You do. Code, prompts, evaluation sets and any fine-tuned weights built for you are handed over with documentation at the end of the engagement.

Get your exact number with a free 48-hour audit

Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.