Build and scale your AI solutions with experienced AI developers. Hire skilled AI developers who can help you design, develop, integrate, and maintain AI-powered applications tailored to your business needs. Whether you need expertise in machine learning, generative AI, large language models (LLMs), or AI agents, RabIT Solutions provides experienced developers who can integrate into your existing team or support your project as dedicated specialists.
As businesses increasingly integrate artificial intelligence into their products and operations, finding the right technical expertise can become a challenge. Hiring experienced AI developers allows you to access specialised skills, accelerate development, and strengthen your existing team without the time and costs associated with permanent recruitment.
Whether you are building a new AI-powered product or expanding an existing solution, dedicated AI developers can provide the expertise and flexibility your project needs.
Your existing developers may have strong software engineering skills but limited experience with machine learning, large language models, or AI agents. Hiring specialised AI developers helps bridge these knowledge gaps without building an entirely new in-house team.
Developing AI-powered applications requires expertise in model integration, data processing, testing, and deployment. Additional AI developers can help your team move projects forward, meet deadlines, and deliver new functionality more efficiently.
As your AI project grows, your team may need additional development capacity or specialists with different technical backgrounds. Hiring dedicated AI developers allows you to expand your team according to changing project requirements.
Adding AI capabilities to established web applications, mobile platforms, or internal business systems requires both AI expertise and software integration experience. Skilled AI developers can implement new functionality while maintaining compatibility with your existing architecture.
AI development requires different technical specialisations depending on your project’s goals, complexity,
and existing infrastructure. From machine learning and generative AI to data engineering and AI architecture,
RabIT Solutions helps you find specialists with the skills needed to develop, integrate, and maintain AI-powered solutions.
Forward-deployed AI engineers work closely with your business and development teams to turn AI opportunities into practical software solutions. They combine AI development, system integration, and business process expertise to identify use cases, build prototypes, develop custom AI applications, and integrate new capabilities into existing systems. They also support testing and optimisation to ensure solutions meet real operational requirements.
Hire machine learning engineers to design, train, optimise, and deploy models that analyse data, recognise patterns, and support automated decision-making. These specialists develop predictive models, forecasting tools, recommendation engines, and classification systems. They also integrate machine learning capabilities into existing applications and evaluate model performance to ensure reliable results.
Hire generative AI developers and LLM developers to build intelligent applications powered by large language models. These specialists develop AI assistants, enterprise knowledge solutions, content generation tools, and retrieval-augmented generation (RAG) applications. Their expertise includes prompt engineering, model integration, response evaluation, and connecting AI capabilities with existing business software.
Hire AI agent developers to create intelligent systems capable of performing tasks, interacting with external applications, and managing complex workflows. These specialists build autonomous and human-supervised AI agents, multi-agent systems, and AI-powered workflow automation solutions. They also implement API integrations, tool calling, and orchestration mechanisms that allow agents to operate within existing business environments.
AI data engineers design and maintain the data infrastructure required to support artificial intelligence applications. They develop reliable data pipelines, implement ETL and ELT processes, integrate databases and data warehouses, and prepare structured and unstructured information for AI models. Their expertise helps ensure that AI systems operate with accurate, consistent, and accessible business data.
Hire MLOps engineers to deploy, monitor, and maintain machine learning models in production environments. These specialists develop automated deployment pipelines, implement model versioning and performance monitoring, and manage cloud-based AI infrastructure. By combining machine learning operations with DevOps practices, they help businesses maintain reliable, scalable, and continuously improving AI systems.
Hire computer vision engineers to develop AI applications capable of analysing and interpreting images, videos, and other visual information. These specialists build object detection, image classification, optical character recognition (OCR), and video analysis solutions. Their expertise supports applications such as automated quality inspection, visual anomaly detection, document processing, and intelligent monitoring systems.
Hire NLP developers to build applications that understand, interpret, and generate human language. These specialists develop intelligent chatbots, virtual assistants, semantic search systems, and automated text-processing solutions. Their expertise includes natural language understanding, text classification, information extraction, and integrating conversational AI capabilities into customer-facing and internal business applications.
AI solution architects design the technical foundations of AI-powered applications and enterprise systems. They evaluate business requirements, select appropriate AI models and technologies, and define how data infrastructure, APIs, and software components should work together. Their expertise includes system architecture, enterprise AI integration, security considerations, scalability planning, and designing maintainable AI solutions.
Predictive analytics engineers develop AI-powered systems that analyse historical and real-time data to forecast future outcomes and support business planning. They build demand forecasting solutions, risk assessment models, anomaly detection systems, and predictive decision-support tools. Their expertise helps organisations anticipate changes, identify potential problems, and improve operational efficiency through data-driven insights.
AI QA and model evaluation engineers test and validate AI-powered applications to assess their accuracy, reliability, and performance. They design evaluation frameworks, implement automated testing processes, and identify issues such as incorrect model outputs, hallucinations, inconsistent responses, and unexpected behaviour. Their work also includes regression testing, performance evaluation, and ongoing quality monitoring to support reliable AI applications.
Forward-deployed AI engineers work closely with your business and development teams to turn AI opportunities into practical software solutions. They combine AI development, system integration, and business process expertise to identify use cases, build prototypes, develop custom AI applications, and integrate new capabilities into existing systems. They also support testing and optimisation to ensure solutions meet real operational requirements.
Hire machine learning engineers to design, train, optimise, and deploy models that analyse data, recognise patterns, and support automated decision-making. These specialists develop predictive models, forecasting tools, recommendation engines, and classification systems. They also integrate machine learning capabilities into existing applications and evaluate model performance to ensure reliable results.
Hire generative AI developers and LLM developers to build intelligent applications powered by large language models. These specialists develop AI assistants, enterprise knowledge solutions, content generation tools, and retrieval-augmented generation (RAG) applications. Their expertise includes prompt engineering, model integration, response evaluation, and connecting AI capabilities with existing business software.
Hire AI agent developers to create intelligent systems capable of performing tasks, interacting with external applications, and managing complex workflows. These specialists build autonomous and human-supervised AI agents, multi-agent systems, and AI-powered workflow automation solutions. They also implement API integrations, tool calling, and orchestration mechanisms that allow agents to operate within existing business environments.
AI data engineers design and maintain the data infrastructure required to support artificial intelligence applications. They develop reliable data pipelines, implement ETL and ELT processes, integrate databases and data warehouses, and prepare structured and unstructured information for AI models. Their expertise helps ensure that AI systems operate with accurate, consistent, and accessible business data.
Hire MLOps engineers to deploy, monitor, and maintain machine learning models in production environments. These specialists develop automated deployment pipelines, implement model versioning and performance monitoring, and manage cloud-based AI infrastructure. By combining machine learning operations with DevOps practices, they help businesses maintain reliable, scalable, and continuously improving AI systems.
Hire computer vision engineers to develop AI applications capable of analysing and interpreting images, videos, and other visual information. These specialists build object detection, image classification, optical character recognition (OCR), and video analysis solutions. Their expertise supports applications such as automated quality inspection, visual anomaly detection, document processing, and intelligent monitoring systems.
Hire NLP developers to build applications that understand, interpret, and generate human language. These specialists develop intelligent chatbots, virtual assistants, semantic search systems, and automated text-processing solutions. Their expertise includes natural language understanding, text classification, information extraction, and integrating conversational AI capabilities into customer-facing and internal business applications.
AI solution architects design the technical foundations of AI-powered applications and enterprise systems. They evaluate business requirements, select appropriate AI models and technologies, and define how data infrastructure, APIs, and software components should work together. Their expertise includes system architecture, enterprise AI integration, security considerations, scalability planning, and designing maintainable AI solutions.
Predictive analytics engineers develop AI-powered systems that analyse historical and real-time data to forecast future outcomes and support business planning. They build demand forecasting solutions, risk assessment models, anomaly detection systems, and predictive decision-support tools. Their expertise helps organisations anticipate changes, identify potential problems, and improve operational efficiency through data-driven insights.
AI QA and model evaluation engineers test and validate AI-powered applications to assess their accuracy, reliability, and performance. They design evaluation frameworks, implement automated testing processes, and identify issues such as incorrect model outputs, hallucinations, inconsistent responses, and unexpected behaviour. Their work also includes regression testing, performance evaluation, and ongoing quality monitoring to support reliable AI applications.
Every AI project has different technical requirements, team structures, and development goals. At RabIT Solutions, we offer flexible cooperation models that allow you to hire AI developers based on your project’s needs, whether you want to extend your existing team, build a dedicated AI development team, or outsource a complete AI project.
Expand your existing development team with experienced AI engineers who bring the specialised skills your project requires. Our developers work alongside your internal team, following your established workflows, development tools, and technical standards. This model allows you to access expertise in machine learning, generative AI, LLMs, and AI agents without the time and costs of permanent recruitment.
Hire a dedicated AI development team that focuses on your project and supports your long-term development goals. Depending on your requirements, your team can include AI developers, machine learning engineers, data specialists, QA engineers, and project management support. This model provides consistent development capacity, direct collaboration, and the flexibility to scale your team as your AI initiatives evolve.
Outsource a clearly defined AI development project to a team of experienced specialists. From initial planning and architecture to development, integration, testing, and deployment, we manage the technical delivery based on agreed requirements and milestones. This model is suitable for businesses developing new AI-powered applications, integrating AI into existing software, or implementing specific AI functionalities.
Hiring dedicated AI developers gives your business access to specialised technical expertise, flexible development capacity, and the resources needed to turn AI initiatives into reliable software solutions. Whether you are developing a new AI-powered product or enhancing an existing application, experienced AI engineers can help you achieve your goals without the challenges of building an in-house team from scratch.
Work with developers experienced in machine learning, generative AI, LLMs, AI agents, and other advanced technologies. Access the specific technical skills your project requires without spending months recruiting and training new employees.
Accelerate AI development with specialists who understand the technologies, frameworks, and implementation challenges involved. Experienced AI developers can help reduce development delays, streamline technical processes, and bring AI-powered features to market faster.
Avoid the long-term expenses associated with permanent recruitment, onboarding, employee benefits, and maintaining additional in-house capacity. Hire AI developers based on your actual project requirements and allocate your development budget more efficiently.
Adjust your AI development capacity as your project evolves. Add specialists when new technical challenges arise, expand your team during intensive development phases, or reduce external resources when your requirements change.
Dedicated AI developers can work directly with your internal engineers, project managers, and stakeholders. By following your existing development processes, communication tools, and technical standards, they become a natural extension of your team.
Delegate specialised AI development tasks to experienced professionals while your internal team concentrates on product strategy, customer needs, and core business operations. This allows you to pursue AI initiatives without diverting essential resources from other priorities.
Getting started with RabIT Solutions is simple. Follow these three steps to hire AI developers with the expertise your project requires.
Click the “Get a Quote” button and complete the contact form with your details and a brief description of your project. Let us know what AI expertise you need, whether it's machine learning, generative AI, LLM development, or AI agents.
Our team evaluates your project goals, technical requirements, and development needs to identify the most suitable AI specialists. We also consider your preferred collaboration model, project timeline, and existing team structure.
Within one business day, we get back to you to arrange an online consultation. During the meeting, we discuss your requirements, answer your questions, and explore the best way to hire AI developers from RabIT Solutions.
Let’s discuss your project!
+44 20 3807 2835 - United Kingdom
+1 (424) 238-7060 - United States
+36 70 620 1660 - Hungary
California, 90401 Santa Monica, Santa Monica Blvd Suite 222.
Hungary, 6724 Szeged, Cserzy Mihály street 30/B
Hungary, 7623 Pécs, Tüzér street 13.
Hungary, 1065 Budapest, Bajcsy-Zsilinszky Blvd 57.
