Hire AI Developers to Bring Your Vision to Life

Build powerful, intelligent solutions with experienced AI developers. We’ll help you deliver custom models, applications, and automations that drive results.

  • Top 1% of developers on Clutch.co
    Top 1%

    of software development companies on Clutch

  • GDPR compliance
    EU GDPR

    commitment to security & privacy

  • Managed Cloud Security
    60%

    of business is based on customer referrals

  • ISO 27001 certified
    ISO 27001

    data security certification by Bureau Veritas

  • Entrepreneur of the Year Western Sweden
    EY EoY 2023

    EY Entrepreneur of the Year in West Sweden

Hire Dedicated AI Developers for Your Next Project

If you’re looking to hire artificial intelligence engineers who can deliver real impact, you’re in the right place. Our team specializes in building intelligent systems tailored to your business goals. You get access to deep technical expertise, agile collaboration, and ongoing support. Whether you need machine learning models, AI-driven automation, or custom solutions, we’ll match you with the right talent. Let’s turn your AI vision into a working reality.

  • $67/h

    Cloud Engineer

    Adam D., DevSecOps, 10+ years of experience
    Skilled in AWS cloud technologies with a strong focus on cloud security, Python programming, and the administration of AWS accounts, contributing to safeguarding critical infrastructures while seeking new opportunities for growth in a collaborative and transparent environment.
    • Cloud Platforms: AWS, Azure, GCP
    • DevOps

    Request full CV

  • $42/h

    Middle ML Engineer

    Daniel M., 3+ years of experience
    Experienced with crafting end‑to‑end CNN pipelines in Python, leveraging PyTorch / TensorFlow and frameworks such as YOLO, RetinaFace, and SSD to deliver fast, accurate object‑ and face‑detection models.
    • CUDA / ONNX / TensorRT
    • Keras / TensorFlow / PyTorch
    • Matplotlib
    • NumPy
    • OpenCV
    • Python
    • RetinaFace
    • scikit‑image
    • SciPy
    • SSD (Single Shot Detectors)
    • Torchvision
    • YOLO

    Request full CV

  • $48/h

    Machine Learning Engineer (Mid-level)

    Alex F., 4+ years of experience
    Alex has worked on projects ranging from customer segmentation to demand forecasting. He builds and refines ML models using Python, TensorFlow, and scikit-learn. He’s strong in data preprocessing and feature engineering and is comfortable deploying models in production using Docker and AWS.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Orchestration: Kubernetes, Docker
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $59/h

    Computer Vision Engineer

    Maria P., 5+ years of experience
    Maria develops smart vision systems that solve real-world problems — from tracking products in retail to automating quality control in healthcare. She works extensively with CNNs, OpenCV, and PyTorch, building fast and reliable models.
    • CUDA / ONNX / TensorRT
    • Keras / TensorFlow / PyTorch
    • OpenCV
    • Python
    • YOLO

    Request full CV

  • $50/h

    AI Chatbot Developer

    Anastasiia H., 6+ years of experience
    Anastasiia specializes in building robust chatbots using HuggingFace Transformers, AWS Comprehend, and Flair. As a chatbot programmer, she focuses on sentiment analysis, NLP pipelines, and conversational AI systems tailored to diverse industries.
    • Google Cloud Natural Language API
    • HuggingFace Transformers (BERT-based models) / VADER / SpaCy / txtai

    Request full CV

  • $58/h

    NLP Engineer

    Michał K., 7+ years of experience
    Michał designs and deploys NLP-based chatbots and speech recognition systems. His projects include multilingual bots, advanced intent detection, and real-time transcription services.
    • Google Cloud Speech-to-Text API
    • HuggingFace Transformers (BERT-based models) / VADER / SpaCy / txtai
    • OpenAI Whisper

    Request full CV

  • $52/h

    Backend Chatbot Developer

    Tanya B., 8+ years of experience
    Tanya focuses on scalable backend solutions for chatbot frameworks and has deep expertise in database management and caching systems that optimize performance under heavy loads.
    • MongoDB / Redis / DynamoDB / InfluxDB
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift

    Request full CV

  • $60/h

    Machine Learning Specialist

    Filip D., 5+ years of experience
    Filip applies deep learning frameworks to chatbot personalization and recommendation features. He leverages Keras and TensorFlow to fine-tune models for specific industries.
    • Keras / TensorFlow / PyTorch

    Request full CV

  • $68/h

    NLP Engineer

    Rafał N., 7+ years of experience
    Rafał specializes in NLP-driven conversational AI and voice solutions, building multilingual chatbots, fine-tuned intent-recognition engines, and real-time speech-to-text pipelines.
    • Anthropic API
    • Google AI APIs (Gemini/Vertex)
    • Locally-hosted LLMs
    • OpenAI API

    Request full CV

  • $55/h

    Full-Stack Chatbot Developer

    Daria P., 6+ years of experience
    Daria builds end-to-end chatbot solutions, covering backend, frontend, and mobile app integration. She ensures seamless deployment through cloud platforms and containerization tools.
    • Cloud Platforms: AWS, Azure, GCP
    • Flutter
    • IaC/Config: Terraform, CloudFormation (IaC), Ansible
    • JS/TS: Node.js, Next.js, Express, NestJS
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $67/h

    Cloud Engineer

    Adam D., DevSecOps, 10+ years of experience
    Skilled in AWS cloud technologies with a strong focus on cloud security, Python programming, and the administration of AWS accounts, contributing to safeguarding critical infrastructures while seeking new opportunities for growth in a collaborative and transparent environment.
    • Cloud Platforms: AWS, Azure, GCP
    • DevOps

    Request full CV

  • $42/h

    Middle ML Engineer

    Daniel M., 3+ years of experience
    Experienced with crafting end‑to‑end CNN pipelines in Python, leveraging PyTorch / TensorFlow and frameworks such as YOLO, RetinaFace, and SSD to deliver fast, accurate object‑ and face‑detection models.
    • CUDA / ONNX / TensorRT
    • Keras / TensorFlow / PyTorch
    • Matplotlib
    • NumPy
    • OpenCV
    • Python
    • RetinaFace
    • scikit‑image
    • SciPy
    • SSD (Single Shot Detectors)
    • Torchvision
    • YOLO

    Request full CV

  • $48/h

    Machine Learning Engineer (Mid-level)

    Alex F., 4+ years of experience
    Alex has worked on projects ranging from customer segmentation to demand forecasting. He builds and refines ML models using Python, TensorFlow, and scikit-learn. He’s strong in data preprocessing and feature engineering and is comfortable deploying models in production using Docker and AWS.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Orchestration: Kubernetes, Docker
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $59/h

    Computer Vision Engineer

    Maria P., 5+ years of experience
    Maria develops smart vision systems that solve real-world problems — from tracking products in retail to automating quality control in healthcare. She works extensively with CNNs, OpenCV, and PyTorch, building fast and reliable models.
    • CUDA / ONNX / TensorRT
    • Keras / TensorFlow / PyTorch
    • OpenCV
    • Python
    • YOLO

    Request full CV

  • $50/h

    AI Chatbot Developer

    Anastasiia H., 6+ years of experience
    Anastasiia specializes in building robust chatbots using HuggingFace Transformers, AWS Comprehend, and Flair. As a chatbot programmer, she focuses on sentiment analysis, NLP pipelines, and conversational AI systems tailored to diverse industries.
    • Google Cloud Natural Language API
    • HuggingFace Transformers (BERT-based models) / VADER / SpaCy / txtai

    Request full CV

  • $58/h

    NLP Engineer

    Michał K., 7+ years of experience
    Michał designs and deploys NLP-based chatbots and speech recognition systems. His projects include multilingual bots, advanced intent detection, and real-time transcription services.
    • Google Cloud Speech-to-Text API
    • HuggingFace Transformers (BERT-based models) / VADER / SpaCy / txtai
    • OpenAI Whisper

    Request full CV

  • $52/h

    Backend Chatbot Developer

    Tanya B., 8+ years of experience
    Tanya focuses on scalable backend solutions for chatbot frameworks and has deep expertise in database management and caching systems that optimize performance under heavy loads.
    • MongoDB / Redis / DynamoDB / InfluxDB
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift

    Request full CV

  • $60/h

    Machine Learning Specialist

    Filip D., 5+ years of experience
    Filip applies deep learning frameworks to chatbot personalization and recommendation features. He leverages Keras and TensorFlow to fine-tune models for specific industries.
    • Keras / TensorFlow / PyTorch

    Request full CV

  • $68/h

    NLP Engineer

    Rafał N., 7+ years of experience
    Rafał specializes in NLP-driven conversational AI and voice solutions, building multilingual chatbots, fine-tuned intent-recognition engines, and real-time speech-to-text pipelines.
    • Anthropic API
    • Google AI APIs (Gemini/Vertex)
    • Locally-hosted LLMs
    • OpenAI API

    Request full CV

  • $55/h

    Full-Stack Chatbot Developer

    Daria P., 6+ years of experience
    Daria builds end-to-end chatbot solutions, covering backend, frontend, and mobile app integration. She ensures seamless deployment through cloud platforms and containerization tools.
    • Cloud Platforms: AWS, Azure, GCP
    • Flutter
    • IaC/Config: Terraform, CloudFormation (IaC), Ansible
    • JS/TS: Node.js, Next.js, Express, NestJS
    • Python (Django/Flask/Fastapi)

    Request full CV

How to know it’s time to hire AI developers?

Hiring an AI developer is essential when you’re building intelligent, data-driven solutions. AI expertise comes in handy when you’re launching a new product or upgrading existing systems. Skilled developers help you move from concept to deployment with confidence. Here are a few common scenarios where AI development plays a key role.

  • Building custom machine learning models to analyze data, predict outcomes, or automate decision-making.

  • Developing AI-powered applications such as chatbots, recommendation engines, and virtual assistants.

  • Optimizing business processes with AI-driven automation for tasks like fraud detection, customer service, and logistics.

  • Enhancing existing products by integrating AI capabilities like image recognition, natural language processing, or predictive analytics.

Let's build intelligent solutions together

What Our AI Developers Can Help You Build

Our AI developers are ready to support you at every step of your AI and machine learning journey. Whether you’re just starting to experiment or scaling up a full solution, we combine strong technical skills with real-world business sense. We can help you build from scratch, fine-tune what you already have, or explore entirely new ways to use AI in your work. Every project is different, and we tailor our approach to fit your vision, your goals, and your industry.

  • Custom AI and ML Model Development

    Our developers design, train, and deploy machine learning models that are customized to your specific use case. We work closely with your team to define problem statements, prepare data, select the right algorithms, and fine-tune models for optimal performance. From prototypes to production-ready models, we help you move forward confidently.

  • AI-Powered Application Development

    We build intelligent applications that enhance user experiences, automate decisions, and deliver insights at scale. Our AI developers can create recommendation engines, predictive analytics tools, personalization systems, and AI-driven customer service platforms. With a focus on seamless integration and user-friendly design, we ensure your AI applications fit perfectly into your digital ecosystem.

  • NLP Solutions

    Language is complex — but our developers make it accessible with powerful NLP solutions. We can help you build systems that analyze sentiment, summarize documents, translate languages, or power conversational AI like chatbots and virtual assistants. By combining the latest advancements in machine learning and linguistics, we create applications that understand and respond to human language with high accuracy.

  • Computer Vision Systems

    Our teams build computer vision solutions that allow machines to “see” and interpret the world around them. We develop tools for tasks like object detection, image classification, facial recognition, and visual quality control in manufacturing. Whether you’re working with satellite imagery, medical scans, or security footage, we help you harness the power of visual data. Advanced image and video analysis can unlock new levels of automation and insight for your business.

  • MLOps and Model Optimization

    Our developers help you establish robust MLOps practices, automate training pipelines, monitor performance, and retrain models when needed. We focus on making your AI systems reliable, maintainable, and ready for long-term growth. With better infrastructure and smarter automation, you can maximize the value of your machine learning investments.

  • AI Strategy and Consulting

    Not sure where to start? Our AI consultants can help you explore opportunities, validate ideas, and design a clear path forward. We offer strategic advice on AI adoption, technology selection, project scoping, and system architecture. Whether you’re in the early ideation phase or refining an existing roadmap, we act as a hands-on partner to help you make informed decisions.

How much does it cost to hire dedicated AI developers?

The cost of hiring remote AI developers depends on several factors, including the developer’s experience level, the technical complexity of your project, team size, and the length of engagement. More advanced projects that require expertise in deep learning, natural language processing, or large-scale data engineering typically come at a higher rate

For short- to mid-term projects, rates start at $180 per day (approximately $3,400 per month) for roles typically filled by junior specialists, and $290 per day (around $5,500 per month) for mid-level contributors. For long-term engagements, pricing begins at $2,550 per month for entry-level roles and $4,150 per month for mid-level positions.

We work with you to assemble a team aligned with your technical requirements and budget priorities.

Freelancers vs. white-label tech partner: what’s the right fit for your AI project?

When you hire AI engineers, choosing the right engagement model can shape your project’s success. Freelancers and white-label tech partners each offer unique advantages depending on your goals, timeline, and internal capabilities. The key is to evaluate your needs around flexibility, support, and scalability. Here’s a side-by-side look to help you decide what works best for your team and business context.

Freelancers

White-Label Tech Partner

Strengths
  • Flexible availability, quick to onboard, often specialized in niche skill sets.
  • Scalable teams, structured processes, end-to-end delivery and support
Considerations
  • May require more project management and oversight from your side.
  • May take more time upfront to align on processes and communication flows.
Ideal for
  • Short-term projects, highly specialized tasks, or when flexibility and rapid onboarding are priorities.
  • Long-term partnerships, complex AI solutions, or when consistent delivery and team continuity matter.

Need support scaling your AI project with a trusted tech partner?

Flexible Cooperation Models to Match Your AI Goals

Whether you need long-term support or targeted training, we offer flexible collaboration formats tailored to your team’s needs and project stage.

  • Dedicated Development Teams

    Direct communication and control

    Work with AI engineers who become an extension of your internal team. This model offers long-term stability and flexibility, ideal for evolving projects that require consistent technical support. Developers are fully integrated into your workflows and communication channels, helping you build, iterate, and scale efficiently. It’s a great choice if you’re looking to grow your AI capabilities without hiring in-house.

  • Project-Based Solutions

    End-to-end support

    Let us take full responsibility for delivering your AI solution, from planning and prototyping to development and deployment. This model is perfect for well-defined initiatives where clear scope, timelines, and outcomes are key. You get access to cross-functional expertise without needing to manage day-to-day execution. We handle delivery while you focus on strategy and growth.

  • Custom Tech Workshops for Teams

    Hands-on team training

    Empower your in-house developers with practical AI skills through targeted training sessions. Our GenAI for Developers workshop teaches teams how to use generative AI tools to improve coding speed, efficiency, and delivery outcomes. Through real-time coding exercises and feedback, developers gain hands-on experience they can apply immediately. It’s ideal for companies exploring AI adoption or looking to enhance internal capabilities.

How We Vet AI Talent Before You Even Interview

We take hiring seriously — so you don’t have to start from scratch. Every AI developer we present has already been screened for technical expertise, communication skills, and cultural fit. Our structured, multi-stage hiring process ensures that only skilled, reliable, and collaborative professionals make it into our talent pool. That means faster onboarding, less risk, and a stronger match for your team.

  • Soft Skills & Communication Review

    Each candidate goes through a recruiter-led evaluation focused on soft skills, professionalism, and communication. We assess English proficiency, collaboration style, and the ability to work in distributed teams. Recruiters also provide detailed grading and feedback to guide decision-making in later stages. This step ensures you get candidates who aren’t just technically capable — but also great to work with.

  • Technical Capability Assessment

    Our experienced tech leads conduct a structured review of each candidate’s hard skills using a custom-built skills matrix. This includes evaluating past experience, project contributions, problem-solving approaches, and relevant tools or frameworks. Candidates may complete technical challenges or discuss real-world project scenarios. Feedback and scoring from this phase help identify developers who are technically sound and ready for production environments.

  • Building a ready-to-hire talent network

    Only candidates who successfully pass both screenings are added to our vetted talent pool. We keep this database actively maintained with regular updates to ensure profiles are current and relevant. This gives you a reliable starting point when building teams, speeding up hiring while maintaining quality. It also means we can offer you pre-matched candidates without compromising on fit or performance.

Why hire dedicated AI developers through Beetroot?

Finding the right AI developer for hire can define the success of your project. At Beetroot, we connect you with skilled engineers who combine technical expertise with a strong sense of purpose. We’re committed to delivering AI solutions that create real-world impact for businesses and communities. With a focus on quality, collaboration, and sustainability, we’re here to support your long-term success. Let’s build AI that truly makes a difference.

  • Purpose-Driven Approach

    AI should make the world better, not just faster or more profitable. We work with clients whose projects aim to create positive change — whether it’s through healthcare, education, green tech, or social impact. Our developers are motivated by purpose, not just deliverables. If you’re building for good, you’ll find a partner who shares your values.

  • Business Impact Focus

    Our AI developers don’t just code, they help drive your business forward. We focus on delivering solutions that solve real-world problems, streamline operations, and uncover new opportunities for growth. With a strong business mindset, we align technical work with your larger strategic goals. Your success is the benchmark we build toward.

  • Empowering People with AI

    We work with clients who care about the impact of what they build — on people, business, and the world. Whether it’s assembling purpose-driven tech teams or building AI that meets real human needs, we focus on solutions that make a difference. For us, AI is a tool for positive change, not just automation.

  • Security You Can Rely On

    Protecting your data, systems, and reputation is one of our top priorities. Our AI developers follow rigorous security protocols, applying industry best practices from initial design to final deployment. We build AI solutions that are not only powerful but also resilient against threats. Your project will have security built in — not tacked on later.

  • Accessibility Mindset

    We build with accessibility in mind, designing AI solutions that are inclusive and adaptable to a variety of users. From interface design to user experience testing, accessibility is part of our process, not an afterthought. This mindset helps you reach wider audiences and strengthens your brand.

  • Sustainability Commitment

    We encourage mindful development practices that reduce environmental impact, from optimizing data processes to choosing energy-efficient infrastructure. Our AI developers think long-term, helping you build solutions that are both powerful and responsible. We believe the future of AI should be innovative and sustainable.

What Our Clients Say About Us

See what our clients say about working with Beetroot’s AI developers. From early-stage startups to growing enterprises, we’ve helped teams build intelligent solutions and reach their goals with trusted technical support.

  • Beetroot AB quickly finds and presents good candidates for our company. Beetroot AB also has an excellent internal culture that makes people very loyal to their external providers, which has resulted in a good relationship with all the team members we’ve worked with. The only thing Beetroot AB can improve is having more transparency regarding taxes and other budget fees.

    Victor Botev,
    CTO & Founder of Iris.ai

Let’s Build Your AI Team

Fill out the form to tell us about your project needs, and we’ll connect you with dedicated AI developers from Beetroot. Whether you’re at the idea stage or ready to scale, we’re here to support your journey.

    FAQs