LoopHawk is an AI development & integration company registered in the US. We’ll match you with remote chatbot developers. We build chatbots using Natural Language Processing (NLP), Large Language Models (LLMs) & Retrieval-Augmented Generation (RAG).
Finding a premium chatbot developer shouldn’t take months.
All our developers are highly vetted with coding tests, excellent communication skills across functions & verified identities. Whether you need to scale with our AI expertise, dedicated developers, or an entire team of AI developers, we’ll find you developers that match perfectly with your tech stack.
Still have questions? Book a free 15 minute call to let us know what you need.
Book a free 15-minute callMany hiring platforms use an automated CV screening system to match developers. These developers will have theoretical knowledge, but no practical experience. Our developers are highly vetted with coding tests & scored by senior AI architects.
Coding test completed.
1-3 developers found within a few days.
Trial your developer with a paid trial project.
All your code, prompts, pipelines & models belong to you.
| Feature / Metric | LoopHawk Engineers | Hiring Platforms / Freelance |
|---|---|---|
| Vetting Process | Develop real bots with adversarial prompts. | Multiple-choice or CV screening. |
| Match Speed | A few days (shortlisted developers) | 1-3 Weeks (Manual Keyword Searches). |
| IP Ownership | You own all code and IP under our US contract. | Split across various regions globally. |
| RAG / Agents | Verified RAG / Agents with real developments. | Basic knowledge of calling APIs. |
Our remote chatbot developers offer end-to-end solutions to help automate customer interactions, data processing & scaling.
Our engineers will create amazing back-end services, API setups & conversation trees. Removing any rule-based scripts & providing a flexible chatbot solution.
Our developers will create a custom RAG pipeline for your chatbot to use internal company data such as documents, databases & wikis.
Our engineers have lots of experience integrating chatbots using secure APIs. We focus on omnichannel integration, providing you with seamless integration using the WhatsApp Business API & custom portals.
Our developers will create, train & optimize machine learning & intent recognition models.
LoopHawk chatbot developers work with our model-agnostic generative AI engineers. Depending on your production needs we’ll use the below technologies.
Depending on your compliance, compute budget, and latency requirements, our developers will choose the best model for you.
| Model Type | Examples | Key Benefits | Best For |
|---|---|---|---|
| Closed Source API | OpenAI GPT-4o, Anthropic Claude 3.5 | No setup required, advanced reasoning capabilities & complex tools. | Multi-agent solutions, complex logic trees & high variance. |
| Open Source | Meta Llama 3.1, Mistral 7B | Data privacy, customizable weights & cheaper hardware. | On-site enterprise solutions & high-volume repetitive queries. |
Each business will have unique scaling requirements. Whether you need standard outsourcing or want to inject some talent through our flexible AI staff augmentation service we can match you.
Full-time role with a dedicated developer working within your engineering team. Will attend daily stand-ups.
Fully managed pod with engineering, integration and QA. Will build your chatbot from start to finish.
Great for businesses who need quick features added, API integration optimizations, database optimizations, or regular model fine-tuning.
We keep things simple. We will match you with developers who can get started quickly.
Use our contact form to tell us about your tech stack, project timeline, and what you want to achieve.
Within a few days, we will show you 1-3 developers who have been pre-screened. They will have been matched to your specific project.
We will interview them to ensure they will fit within your culture.
Start working with them using a paid trial milestone to ensure code quality within your repo.
Our developers will create solutions to solve the following.
Automatically answer repetitive FAQs, manage returns, and escalate to live agents.
Live lookup of stock, personalized recommendations, and automated cart abandonment.
Automatically book patients, securely route symptoms and general admin.
Instant lead qualification, automatic property booking tour and real-time CRM updates.
Screen new leads, gather case information through a RAG chatbot and schedule new consultations.
Answer questions about your products, qualify new demo requests and sync new leads to your CRM.
Answer questions about enrollment and courses and schedule calls with admissions.
Answer questions about bookings via WhatsApp and web chat. Follow up with guests post stay.
We know that having theoretical knowledge doesn’t mean they will produce good code. To reduce any risk when hiring developers, we have a strict multi-stage verification process managed by active AI architects. Any developer wanting to be placed on our engineering team will have to pass the following.
Developers will have to create a working RAG pipeline or autonomous chatbot. They will have to query data sources, use tools using function calling, and manage application states.
We will test their custom chatbot using prompt injection, incorrect data, and latency issues. We will closely monitor how well their code can handle errors and reject any bad parameters.
Great engineers will communicate well. All our engineers will have been thoroughly assessed to ensure they can explain complex trade-offs in clear English. This will make them compatible with your Slack, Jira & GitHub repos.
Creating an AI chatbot involves much more than just passing prompts to an API endpoint. Our engineers will create optimization steps to ensure your software is of a high quality. They will create complex context window scripts to reduce past inputs and reduce the number of tokens used during inference. This will greatly reduce API costs.
Our developers are also experts at creating multi-layer semantic caching using Redis or vector DB indexes. They will cache the most common questions, meaning they won’t need to call the LLM. This will reduce latency from seconds to milliseconds.
When creating a chatbot, we have strict data requirements. Our engineers will follow strict security protocols.
While we lay out the engineering, our developers commit to building the correct software to meet your own compliance requirements.
Create orchestration to protect your customer-facing applications from prompt injection.
All work will be completed under a US-registered LLC, with strict NDAs and clear IP transfer.
To ensure your AI chatbot is of high quality, our chatbot developers will create evaluation pipelines (Evals). This will constantly test their responses against custom validation sets.
Our developers will use open-source logging tools such as LangSmith or Phoenix to log user conversations. This will help identify any unexpected regression issues that may occur when updating your system. It will also identify any drift in your fine-tuned models. Our engineers will ensure your chatbot is factual, up to date, and won’t cause any destructive hallucinations.
We will ensure our projects are realistic. Our hourly rates start from $35, with prices varying depending on the following.
Don’t waste time sifting through unverified profiles. We will match you with AI engineers who have proven their skills. They can create secure, scalable and high-performing chatbots.
Not ready to hire yet? Ask for a free ROI estimate first, and see what an AI build could return.
Rule-based bots rely on strict conditional logic. If a user goes outside of their rules, the bot will fail. AI chatbots use LLMs and NLP to understand user intent, recognize context, unstructured language, and complex multi-step processes.
Yes! Our chatbot developers are experts at creating clean API integrations and Model Context Protocol (MCP) integration. They will sync your chatbot data with Salesforce, HubSpot, Zoho, or your internal database.
All our engineers go through strict verification. They will go through a technical verification process managed by senior AI architects. They will have to complete an advanced live coding challenge focusing on optimizing pipelines, reducing hallucinations, and handling edge cases.
Most of our clients will see their shortlisted developers in 48-72 hours. The developers they pick will be able to onboard and start writing code in less than 2 weeks
Share what your chatbot should do, where it runs and how you want to work.