LLM development services usually mean one thing: paying someone to put a language model to work inside a product you already have or want to build.
If you are reading this, you probably have a task in mind. Maybe you want a chat box on your website that answers customer questions. Maybe you want software that reads a pile of documents and pulls out the numbers you need. Maybe you just know "AI" should be part of your next release and you are not sure what to ask for.
This page exists to remove the guesswork. I have spent 17 years building software, and the last few years building the AI (also called LLM, short for large language model) piece into real products for real customers. Below is what these services actually cover, what they do not, what I offer through my own AI Development retainer, and how to tell if now is the right time to hire.
TL;DR
- LLM development services means hiring an engineer to add an AI feature, such as a chat interface, an automated workflow, or a document-reading tool, into a product. It does not mean building your own AI model from scratch.
- These services typically include: connecting to an AI provider (OpenAI, Anthropic, and similar), designing prompts, building the surrounding application, and testing the result before it reaches your customers.
- They typically exclude: training a new model, replacing a full engineering staff, or promising unlimited work for one flat fee.
- I run a solo AI Development retainer at $3,999 per month. One person (me) does the work, the price is fixed, and you can leave after 14 days for a full refund if it is not a fit.
- I take one customer at a time. If you want to start soon, reach out now rather than later.
Table of contents
- What LLM development services usually include
- What LLM development services usually leave out
- How my AI Development retainer works
- How to tell if you need this now
- Questions to ask before you hire anyone for this
- FAQ
What LLM development services usually include
The business outcome first: you want a feature that understands language, whether typed by a customer or buried in a document, and responds or acts on it correctly. The technical piece behind that is a large language model, an AI system trained on huge amounts of text so it can read and write in a way that feels human. Providers like OpenAI and Anthropic build and sell access to these models. My job as the person you hire is everything around that model: the part that turns "AI can technically do this" into "this works reliably for my customers."
In practice, LLM development services usually cover four things.
Connecting the model to your product. The AI model itself does not know anything about your business. Someone has to wire it up: your website, your app, or your internal tool needs to send the right information to the model and receive an answer back in a format your product can use. Amazon Web Services and Google Cloud both publish plain explanations of how this connection works if you want the longer technical version.
Prompt design. A prompt is the instruction you give the model. Getting this right is most of the work. A vague prompt gives you vague, sometimes wrong, answers. A well-built prompt, tested against real examples, gives you consistent and useful results. This is closer to writing a very precise specification than it is to traditional coding.
The application around the model. A chat box needs a chat interface. A document reader needs somewhere to upload documents and somewhere to see the extracted result. This is regular software engineering: the same skill set behind any other website or application feature, just aimed at a new kind of task.
Testing and guardrails. Before an AI feature reaches your customers, it needs to be tested against edge cases, checked for security holes (the OWASP Top 10 for LLM Applications is the standard reference list of what can go wrong), and given limits so it cannot say or do something you did not intend.
One example from my own work: a custom CRM I built for a digital marketing agency uses Claude AI as part of the pipeline that qualifies leads and drives lead growth of over 500%. That is LLM development in practice: not a chatbot for its own sake, a specific business result with an AI model doing one job well inside a larger system.
What LLM development services usually leave out
Here is where expectations go wrong most often, so it is worth being direct.
Training your own model. OpenAI, Anthropic, and Google themselves spend enormous sums training the base models. Almost no one hires an independent engineer to build a new model from zero, and you should be skeptical of anyone who offers to. What gets built for you is a system that uses an existing model well, not a new model.
A replacement for a full engineering staff. If you need dozens of engineers across many projects at once, one person, or even one small firm, is the wrong shape of solution. LLM development services from an independent engineer fit best when the AI piece is one clearly scoped feature, not your entire technology operation.
Unlimited scope for a flat fee. A fixed monthly price means a fixed amount of work each month, agreed on in advance, not infinite requests. Anyone who blurs this line either underdelivers or burns out. I would rather set the scope honestly up front.
A finished product with zero involvement from you. The best AI features come from a back-and-forth: you know your customers and your business, I know how to build the software. Expect regular check-ins and decisions, not a black box that appears finished eight weeks later.
Knowing what is out of scope is not a limitation. It is what lets a fixed price and a real guarantee exist at all.
How my AI Development retainer works
I offer one AI Development plan: $3,999 a month, a fixed monthly retainer. No hourly billing, no surprise invoice. You can see the full page at /services/ai-development.
Here is what that includes in plain terms.
One person, start to finish. I do the design, the coding, the testing, and the delivery myself. No project manager translating between you and a team you never talk to, no offshore subcontractor you never meet. When you have a question, you ask me directly.
Fixed price, agreed before work starts. You know the monthly number going in. There is no meter running.
A real guarantee. If the first two weeks show it is not the right fit, you get a full refund. After that, you can cancel any time. I would rather earn the relationship every month than lock you into a contract you regret.
Fast, predictable communication. I send daily async updates and respond within 24 hours. You are never wondering what happened to your project.
Ownership. Once you pay, 100% of the code, design, and content is yours. Nothing gets held back or licensed back to you.
I have applied AI directly to real work before. A HubSpot integration I built for one of Brazil's largest veterinary networks processed over 2 million records and gave that business its first full view across four separate systems, delivered within 4 weeks. I also built Instill, an AI knowledge base now used by over 30 active users with more than 1,000 skills saved, built on the open MCP protocol. Neither project started as "add AI for the sake of it." Both started with a business problem that an AI model happened to be the right tool for.
Because I work with one customer at a time by design, there is a waitlist for the next slot. If the timing might work for you, it is worth starting the conversation now rather than when you are ready to move immediately, since the next open slot may already be a few weeks out.
How to tell if you need this now
You probably need LLM development services now if any of the following is true.
A specific, repeated task is eating your time or your money. Reading through support tickets, summarizing calls, extracting data from PDFs, answering the same customer questions over and over. If the task is well-defined and repetitive, an AI model plus the right prompt can usually do a large chunk of it.
Your customers expect an AI feature and a competitor already has one. Being behind on an expected feature is a real cost even if you cannot name a metric for it yet.
You have already tried a no-code AI tool and hit its ceiling. Off-the-shelf AI tools are good for testing an idea cheaply. They are usually not good at handling your specific data, your specific rules, or scaling past a handful of users. That gap is exactly where custom LLM development services earn their price.
You probably do not need this yet if you have not defined the task the AI would do, if your main product still has bigger gaps than "no AI feature," or if your budget genuinely cannot support a monthly retainer right now. There is no penalty for waiting. A rushed AI feature bolted onto a shaky product usually hurts more than it helps.
Questions to ask before you hire anyone for this
Whether you hire me or someone else, ask these five questions before you sign anything.
Who exactly will do the work? A named person you can talk to, or an anonymous team behind an agency? The 2025 Stack Overflow Developer Survey shows how crowded the AI tooling market has become. Crowded markets attract resellers who add a layer of cost and communication delay without adding skill.
What is explicitly out of scope? If the answer is vague, expect scope creep and a rising bill later.
What happens if it does not work out? A real guarantee, with a real refund window, tells you the person offering it is confident in the work.
How will you communicate, and how often? Weekly silence followed by a surprise deliverable is a warning sign, no matter how talented the engineer.
Who owns the code when it is done? This should be an unambiguous yes, not a "depends on the license."
If a provider cannot answer these five questions cleanly, keep looking.
FAQ
What does "LLM development services" actually mean?
It means hiring someone to build a feature that uses a large language model, the AI system behind tools like ChatGPT and Claude, inside your product or workflow. Examples include a support chatbot, a tool that reads documents and pulls out data, or an internal system that drafts content or answers questions using your own data.
Do I need a company to hire an AI engineer?
No. You can hire LLM development services with only an idea and no legal entity yet. Plenty of my customers start exactly there.
How much do LLM development services cost?
Costs vary by scope and provider. My own AI Development retainer is a fixed $3,999 a month, described in full on the AI Development service page. Providers charging by the hour or by project can range widely, so always ask for a specific number before you commit.
Will you train a custom AI model for me?
No, and you should be cautious of anyone who offers this as a standard service. Training a model from scratch costs far more than almost any single feature is worth. What gets built instead is a system that uses an existing model, from a provider like OpenAI or Anthropic, applied well to your specific task.
How long does a typical AI feature take to build?
It depends on scope, but a well-defined feature, such as a document extraction tool or a customer-facing chat feature, often reaches a working version within a few weeks under a monthly retainer, with the following weeks used to refine it against real use.
What if the AI feature does not perform well after launch?
Under my guarantee, the first two weeks come with a full refund if it is not working out. After that, ongoing fixes are included as part of the retainer: if it ships, it works, and keeping it working is part of the job, not a separate charge.
Next steps
If you have a task in mind and want a straight answer on whether an AI feature is the right move, let's talk. I will tell you plainly if it is not, and if it is, you will know the price and the plan before we start.
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