Hire LLM Developers
Pre-screened LLM Developers who have taken RAG pipelines, agents, and eval suites into production, matched to your model stack and data in about 3 days.
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Meet uniquely qualified Fractional LLM Developersfor your company. Tell us your needs and we’ll handpick your best matches from the network.
When to hire a Fractional LLM Developer
Bring in an LLM Developer when your AI feature is stuck between a promising demo and something customers can rely on.
Your prototype never made it to production
The demo worked on ten hand-picked questions, but nobody on the team knows how to harden retrieval, handle edge cases, or monitor output quality at scale.
Answers are confidently wrong
Users are reporting hallucinations and stale answers, and you have no eval suite to tell whether a prompt change made things better or worse.
Token costs are climbing every month
Your API bill grows faster than usage because nobody has tuned context windows, caching, model routing, or chunking strategy.
Your engineers are learning LLMs on the job
Strong backend developers are burning sprints on trial-and-error with embeddings, agents, and frameworks instead of shipping the rest of the product.
You can't find an AI hire who fits
Months into a full-time search, the candidates either know research but not production, or know APIs but not retrieval and evaluation.
The benefits of hiring a Fractional LLM Developer
A fractional LLM Developer gives you someone who has already debugged hallucinating retrieval, runaway token bills, and flaky agents, working inside your stack without a full-time AI hire on payroll.
Ship a production RAG stack on a part-time budget
Senior LLM engineering on retrieval, prompting, and evals without the salary, equity, and benefits a full-time AI hire demands in this market.
Get evals running before the next sprint ends
We send pre-screened LLM Developers in about 3 days, so your AI feature work starts this month instead of after a long search for scarce talent.
Bring in engineers who've shipped LLM features
Every match has put models into production with tools like LangChain, LlamaIndex, vector databases, and hosted or open-source models, and has been pre-screened by veteran executive recruiters.
How to hire a Fractional LLM Developer
No more juggling job boards and sorting through pools of unqualified applicants. Hiring a Fractional LLM Developer is easy with Go Fractional.
Discovery Call
Book a free 20-minute discovery call with one of our executive recruiters to review your goals, needs, and team dynamics.
Meet Experts
Within days, we'll introduce you to a short-list of pre-screened Fractional LLM Developer candidates to interview, each pre-screened by veteran executive recruiters before you meet them. Our match success rate is 98%.
Start Work
Finalize contract details with Go Fractional and get working within less than a week of your discovery call.
Engagements that fit how you work
Every Go Fractional engagement is structured for senior leadership without full-time overhead. Start fractional, scale up, or convert to full-time when you’re ready.
Fractional LLM Developer
- Senior leadership on a part-time schedule
- Monthly retainer, no recruiting fees
- Scale hours up or down as needs change
Contract-to-Hire
Trial a Fractional LLM Developer on a fractional engagement before converting them to a full-time hire.
- Keep the expert's learnings or convert to full-time
- Try the fit before you commit, no hiring risk
- Faster speed to market, conserving time and resources
Interim LLM Developer
Full-time coverage for a defined stretch: a leadership gap, a transition, or a critical project.
Hire InterimFractional vs full-time vs agency
Three ways to get LLM Developer leadership, and where each one wins.
| Factor | Fractional LLM Developer | Full-time LLM Hire | AI Agency / Dev Shop |
|---|---|---|---|
| Time to hire | ~3 days | 3-6 months | 2-6 weeks |
| Cost structure | Monthly retainer | Salary + equity + benefits | Project fee + markup |
| Who owns the AI work | Embedded in your repo and team | Your employee | Agency team, handed off at end |
| Eval and model upkeep after launch | Continues on retainer | Yes, ongoing | Usually a new SOW |
| Flexibility as models change | Scale scope up or down | Fixed headcount | Tied to project scope |
| Best for | Shipping and tuning LLM features with senior judgment | Large, permanent AI platform teams | One-off builds with a clear spec |
We’ve helped hundreds of organizations Go Fractional
Twelve years: the average experience across a network of handpicked executives ready to make an impact on day one.
“It was literally three days after he started with us fractionally, our CEO was calling me and asking if we could get a full-time offer out.”
“It's a can't-lose scenario. You either get the learnings from the subject matter expert, or you get the full-time capability. It provided a ton of flexibility, much faster speed to market, and conservation of time and resources.”
“Go Fractional provided Mockingbird with a founder-level engineering leader that helped us out of a huge amount of tech debt, streamlining and modernizing our entire e-commerce stack”
Frequently asked questions
Here are a few questions that folks just like you have had during their search.
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Leverage proven Fractional LLM Developer talent to solve your biggest challenges without the overhead.
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