AI developer
Hire an AI developer
Artificial intelligence is one of today's key technological trends and a powerful tool for digital business transformation. The most technologically advanced companies are actively implementing AI solutions to automate processes, process large volumes of data, improve operational efficiency, and create new digital services.
CortexIntellect is a team of experts in artificial intelligence and machine learning. We tackle challenges at various levels, from automating internal processes and implementing recommendation and predictive models to developing services for SaaS platforms, enterprise systems, and solutions based on generative AI.
Who is an AI developer?
An AI developer is an engineer who designs, configures, and implements machine learning models into real digital products. Their role goes beyond algorithm creation: they build the entire operational cycle of an intelligent system — from data analysis to model integration into the company's infrastructure.
As part of the AI project, the developer:
- analyzes and prepares data for training;
- creates and configures machine and deep learning models;
- configures data processing processes;
- implements models into web services, mobile applications or corporate systems;
- controls the quality of predictions and the correct operation of algorithms;
- Optimizes decisions as data volume and load grow.
AI developer's technological base
An AI developer works with modern machine learning and data analysis tools, and can train models, implement them in digital products, and ensure stable operation in production. They understand data storage and processing processes, as well as deploying solutions in cloud infrastructure.
Additional competencies
Strong specialist:
- designs architecture taking into account the increase in load;
- works with different types of data;
- understands the implementation and maintenance of models after launch;
- links the quality of the model to business metrics;
- documents solutions and supports their development.
This level of preparation enables the creation of AI solutions that become part of a company's sustainable digital infrastructure.
How an AI developer works in a team
AI projects are always implemented in collaboration with other specialists. An AI developer collaborates with data analysts, backend engineers, architects, DevOps specialists, and project managers.
Analysts help formulate hypotheses and define metrics, backend developers integrate models into the product, DevOps ensures stable deployment, and the project manager oversees deadlines and priorities. This collaborative format makes AI solution development a manageable process with clear business outcomes.
Choose a developer
Why hire CortexIntellect AI developers
CortexIntellect specializes in the development and implementation of AI solutions for businesses, tailored to the company's infrastructure and project goals.
- Narrow specialization in AI.
Our practical experience in machine learning and generative models allows us to quickly evaluate tasks and select the optimal architecture. - Implementation experience.
We test and adapt solutions to real-world operating conditions, ensuring stable operation after launch. - Focus on business results.
We link technical implementation to specific metrics—automation, analytics, and improved forecasting accuracy. - Architectural approach and transparent processes.
We design AI as part of the company's overall system, documenting work stages, and maintaining clear documentation.
By hiring CortexIntellect's AI developers, you receive thoughtful AI implementation and solutions designed to deliver long-term business value.
What experience do our AI developers have?
CortexIntellect's AI developers have implemented projects of varying complexity, from applied intelligent modules to full-fledged automation systems.
As part of commercial projects, our specialists developed:
- AI agents for automating internal and client processes;
- AI assistants to support users and employees;
- AI chatbots with integration into websites and corporate systems;
- intelligent automation systems (AI automation) for data processing and task management;
- Generative AI- powered solutions for content creation, request processing, and service personalization.
We also implemented AI integrations into existing digital products, connecting intelligent modules to websites, 3D designers, CRM systems, and other corporate platforms.
Models of cooperation
We offer several work formats so you can choose the right level of involvement and responsibility.
Dedicated AI Developer
We provide an AI developer for your project with an agreed-upon workload—hourly or monthly. The specialist works on your tasks, supervised by CortexIntellect.
We monitor the quality of work, deadlines, technical standards, and compliance with the architecture. This approach allows you to gain strong expertise in artificial intelligence without having to manage engineering processes on a daily basis.
Dedicated project team
We assemble a team based on project requirements: an AI developer, frontend and backend engineers, data specialists, and DevOps. The team is determined by the architecture and scale of the solution.
Comprehensive implementation of an AI project
We handle the full cycle — from analytics and design to launch and maintenance. CortexIntellect is responsible for the architecture, implementation, and final product.
Integrating an AI developer into the client's team
The specialist is fully integrated into your internal structure and works under the supervision of your technical manager. They participate in internal processes, planning, and adhere to established development standards. CortexIntellect remains responsible for administrative support for the specialist — registration, replacement if necessary, and organizational matters.
Technologies our AI developers possess
AI development requires a deep understanding of both machine learning algorithms and the infrastructure they operate within. Our specialists are proficient in a modern technology stack that enables them to design, train, and implement intelligent systems in real-world digital environments.
Core technologies
CortexIntellect's AI developers work with key machine learning and data analysis tools:
- Python is the main development language for AI projects;
- PyTorch and TensorFlow are frameworks for building and training deep learning models;
- Scikit-learn, Pandas , NumPy are libraries for data analysis and preparation;
- OpenAI API, Gemini (Google AI), Claude (Anthropic), Azure OpenAI Service and other generative AI platforms for working with LLM and multimodal models;
- n8n, Dify — nocode/lowcode frameworks;
- Langchain, Langgraph, Llamaindex, Crewai, Deep agents — Python frameworks;
- Qdrant, Pinecone — vector databases;
- Mem0, Supermemory — Long term memory;
- Testing — Langfuse, Langsmith;
- tools for working with large language models and generative AI;
- data storage and processing systems.
Integration and deployment
We focus not only on creating models but also on implementing them into production. This is achieved through the use of:
- cloud platforms (AWS, Azure, Google Cloud);
- Deployment of AI services using Docker and management of their operation in the infrastructure;
- deployment and monitoring automation tools;
- API integrations for connecting AI to web products and enterprise systems.
Such a broad technology stack allows our AI developers to go beyond narrow specialization in a single tool. They are able to select the optimal technologies for a specific task and build solutions that operate reliably in real-world infrastructure, process large volumes of data, and grow with the business.
Industries in which our AI specialists have worked
Our AI developers have implemented projects for SaaS platforms, financial companies, eCommerce, manufacturing, digital marketing products, and corporate systems. These projects utilized artificial intelligence for automation, analytics, forecasting, and digital service development.
Our team's experience across multiple industries allows us to quickly consider the specifics of data, infrastructure, and business requirements when implementing AI in a specific environment.
What is the process of hiring an AI developer?
We've created a clear and manageable process for connecting an AI developer to a project, so you can quickly gain the necessary expertise and get started without lengthy approvals.
- Task and requirements analysis. We discuss the project's goals, data type, proposed architecture, and collaboration format. This allows us to determine the specialist's level and the range of competencies required to complete the task.
- AI developer selection. Based on your requirements, we offer a specialist with relevant experience — whether it's machine learning, generative models, process automation, or AI integration into an existing system.
- Interview and approval. You get to know the candidate, assess their technical skills and compliance with your processes. If necessary, we offer alternative options.
- Joining the project. After agreeing to the terms, the specialist begins work: reviewing documentation, gaining access, and joining the workflow.
- Implementation and control. The AI developer completes tasks within the agreed-upon plan, and we ensure process transparency, adherence to deadlines, and technical quality of implementation.
This approach allows us to launch work quickly and minimize risks.
The cost of hiring an AI developer
The cost of engaging an AI developer depends on the specifics of the project and the scope of the tasks. Several key factors influence the budget:
- project complexity – model type, data volume, requirements for system accuracy and stability;
- the scope of work ranges from developing a separate module to building a full-fledged AI architecture;
- implementation timeframes - accelerated launch requires more resources;
- integration - the need to connect to existing platforms, CRM, SaaS or corporate systems.
Approximate rates for AI developers
| Specialist level | Hourly rate |
|---|---|
| Junior AI Developer | from $40/hour |
| Middle AI Developer | from $55/hour |
| Senior AI Developer | from $70/hour |
The final rating is calculated individually after analyzing the tasks, architecture and format of cooperation.
Why Companies Choose Cortex Intellect
Precise selection of an AI developer for the task.
For each task, we select an engineer who has worked with similar types of solutions, in the relevant industry, and with a suitable technology stack. This approach reduces onboarding time and minimizes the risks associated with bringing a specialist on board.
Strong expertise at an optimal budget.
You get AI developers with experience implementing solutions in real-world commercial projects at a market-comparable rate, but without the additional costs of searching, hiring, and internally vetting candidates.
Quick start of cooperation.
The selection and approval process is structured so that a specialist can join the project within a short timeframe. This allows us to quickly launch the AI project and move on to implementation.
Looking to hire an AI developer for your project?
If you're planning to implement intelligent technologies or are looking for a specialist to enhance an existing project, we can help you find an AI developer with relevant experience and the appropriate level of expertise.
Get a consultation, discuss your project goals and collaboration format — we'll offer a solution that meets your needs and deadlines.
FAQ
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How do I choose the right AI developer for my project?
Evaluate the specialist's experience with implemented solutions, understanding of architecture and integrations, and the tech stack they work with. It's important that the developer not only builds models but also knows how to implement them in the product and work with real data in your infrastructure.
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Is it possible to hire one AI developer instead of a whole team?
Yes, we provide a dedicated specialist for specific project tasks. This approach is suitable for fine-tuning an existing solution, implementing a separate AI module, or strengthening an internal team.
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When is an AI development team needed?
If a project involves complex architecture, integrations, working with large data sets, or the parallel development of multiple components, it's more effective to involve a team—with assigned roles and timelines.
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How quickly can you hire an AI developer?
The onboarding time depends on the project requirements and level of expertise, but in most cases, we can recommend a suitable AI developer and have them onboarded within one week of confirming the requirements. If the project requires an expanded team, the timeframe may increase to 2-3 weeks.
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Is it possible to replace the developer's AI during collaboration?
Yes, we can offer a replacement specialist if necessary. Administration and organizational matters remain our responsibility, reducing risks for the client and ensuring business continuity.
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How is the experience and competence of AI developers assessed?
We select specialists with relevant commercial experience, proven case studies, and experience implementing solutions in real-world environments. Before starting a collaboration, you can review the specialist's profile and conduct a technical interview.
