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Hire an AI Specialist who turns AI ideas into working features.

Move from pilots to production. A pre-vetted specialist connects language models to your data, products and workflows, in your stack and on your hours.

Stack
  • OpenAI API
  • Anthropic Claude API
  • LangChain
  • LlamaIndex
  • Pinecone
  • pgvector

Overview

What does an AI Specialist do?

Most companies have a list of AI ideas and very few of them shipped. A support assistant that answers from your help center. A tool that drafts proposals from past wins. A workflow that reads invoices and fills your ERP. Each one stalls on the same question: who on the team actually knows how to build it?

An AI specialist is the person who connects the model to the business. They pick the right model and API for the job, wire it into your data through retrieval and tool calls, put guardrails and logging around it, and measure whether it is good enough to put in front of customers. It is integration and product work, not research.

AssistHubPro matches you with a specialist who has already shipped LLM features into real products. Your team keeps the roadmap and the decisions. Your specialist turns the list into prototypes, then into features that hold up in production.

This weekOn track
  • Use-case scoping
  • LLM API integration
  • Retrieval over your content
  • AI assistants and agents
  • Workflow automation
Example of the weekly work your specialist handles.

Skills and stack

From prototype to production, built in your stack.

The day-to-day work your specialist owns, in the tools your team already uses.

  • Use-case scopingWorks through your ideas with you, sorts what a model can do reliably from what it can't, and sizes each one.
  • LLM API integrationConnects OpenAI, Anthropic, Gemini or open-weight models to your app, with retries, timeouts and fallbacks.
  • Retrieval over your contentBuilds RAG pipelines that chunk, embed and search your documents so answers cite your own sources.
  • AI assistants and agentsDesigns assistants that call your tools and APIs to look things up, create records or hand off to a person.
  • Workflow automationAdds AI steps to n8n, Zapier or your own services, such as classifying tickets or extracting fields from documents.
  • Evaluation and testingBuilds test sets and scoring so every prompt or model change is checked before it reaches users.
  • Guardrails and monitoringAdds input checks, output filters and logging so you can see what the model said and why.
  • Cost and latency tuningUses caching, model routing and shorter context to keep responses fast and the monthly bill predictable.

Tools they already know

  • OpenAI API
  • Anthropic Claude API
  • LangChain
  • LlamaIndex
  • Pinecone
  • pgvector
  • Azure OpenAI
  • n8n

Your specialist uses API keys and cloud roles you issue, scoped to the projects they need. You own every key and account, and access is revoked the day a placement ends.

Human vs AI

Why an AI Specialist beats AI on its own.

AI tools are quick at first drafts. A dedicated specialist turns them into finished work you can trust, inside your business.

AI tools on their own compared with your AI Specialist
AI aloneYour specialist
Knows your business
Starts from zero each timeRemembers your clients and preferences
Judgment calls
Can be confidently wrongChecks facts and asks before acting
Follow-through
Waits for the next promptOwns each task until it is done
Relationships
Can't build trustPart of your team to clients
Works in your tools
Output needs copying overWorks inside your accounts
Accountability
Nobody stands behind itReports to you, with a free rematch

The best of both. Your specialist can use AI tools to draft, research and summarize faster, then checks every result before it reaches you or your clients.

How hiring works

From first call to first commit.

Every specialist is checked before you meet them, so your interviews are only with strong candidates.

  1. Step 1

    Free consultation

    30 minutes on your use cases, data and stack.

  2. Step 2

    Matched shortlist

    Pre-vetted specialists who fit your stack, hours and budget.

  3. Step 3

    Vetted for you

    Shipped AI work · Build task · Evaluation thinking · Data handling judgment

  4. Step 4

    Start working

    A kick-off call sets up access and routines, and work starts.

Cost

What an AI Specialist could cost you.

No pricing grid to squeeze into. We scope the role, hours and experience with you, then quote exactly that.

  • Part-timeA few focused hours a day.
  • Full-timeOne specialist, dedicated to you.
  • TeamSeveral roles, managed together.

Example yearly cost, full-time

In-house AI Specialist$182,000

$140,000 salary + 30% benefits and overhead

Through AssistHubPro$93,600

$45/hr × 40 hrs × 52 weeks

Illustrative figures only. Your quote depends on experience and hours. Try the savings calculator.

Projects

Bigger projects you can hand over.

Once your first features are live, your specialist can take on the larger AI work across your business.

  • AI roadmap and build-vs-buy

    Reviews where AI fits across your product and operations, and which pieces to buy, build or skip.

  • Multi-step agent systems

    Designs agents that plan, call several tools and recover from errors, with human approval where it matters.

  • Private and self-hosted models

    Deploys open-weight models in your own cloud when data must stay inside your environment.

  • Internal AI enablement

    Builds shared prompt libraries, templates and internal tools so the rest of your team can use AI safely.

FAQ

Hiring an AI Specialist: your questions.

What's the difference between an AI specialist and a machine learning engineer?

An AI specialist builds products and workflows on top of existing models: API integration, retrieval, assistants and automations. A machine learning engineer trains, deploys and operates models themselves. If you want to ship features using models that already exist, start with an AI specialist.

Which models and platforms do they work with?

Commonly OpenAI, Anthropic, Google Gemini and Azure OpenAI, plus open-weight models when you need to self-host. We match on the platforms you already use or plan to use.

Will they work with our existing engineering team?

Yes. They work in your repositories, follow your code review and deployment process, and join your standups and planning so AI work fits into the same roadmap.

Can they cover our time zone?

Yes. Your specialist works the hours you agree, whether that's full overlap with your team or a set window each day for calls and reviews.

How quickly can someone start?

Most clients meet pre-vetted candidates within days of the free consultation. After you choose, a kick-off call covers access, repositories and the first use case.

How do you keep our data safe when using AI providers?

Your specialist works under an NDA with least-privilege access, and agrees with you which data may be sent to which provider. Where data can't leave your environment, they can use models hosted in your own cloud.

Can we add more AI capacity later?

Yes. Tell your Account Manager and you can add hours, or add a prompt engineer, data scientist or ML engineer alongside your specialist.

What if the specialist isn't the right fit?

Tell your Account Manager and we'll find a replacement free of charge, no questions asked.

Hire an AI Specialist with AssistHubPro.

A free 30-minute consultation and a real reply within 24 hours. No obligation.

  1. 1We reply within 24 hoursA real person reads every request and replies with a clear next step.
  2. 2Free 30-minute consultationWe scope the role, the hours and the tools you use.
  3. 3Meet your matchesInterview pre-vetted specialists and choose who joins.
  • Pre-vetted
  • Free rematch
  • Account Manager

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