Hire AI Developers

Expert AI developers from Europe and North America. DevTeam.Space is a vetted community of expert AI dev teams supported by an AI-powered agile process. Top companies and startups rely on us to build great AI-powered mobile apps. We can help you too, by enabling you to hire and effortlessly manage expert AI developers.

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Hire Expert AI Developers,
Not Freelancers

Building a great product in today’s world requires expert developers, not freelancers. DevTeam.Space is a vetted community where you can hire senior AI developers with relevant expertise.

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Clear Communication, Tasks and Payments Management

Get complimentary support from a dedicated tech account manager and AI-powered agile process with all the tools, notifications, and performance tracking to ensure ongoing success.

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Get Supportable and Maintainable Code

Our expert AI developers deliver supportable and maintainable code. So any new developers you add to the team can onboard and continue working on the code immediately.

Top 10 Expert AI Developers to Hire in 2023

Anna | React Native and Node.js Developer

 Europe

Anna is a mobile and web developer with 6 years of experience. She is an expert in numerous technologies including React Native and JavaScript.

  • AngularJs
  • AWS
  • JavaScript
  • Node.js
  • React
  • ReactNative
  • AngularJs
  • AWS
  • + 4 more

Arthur | PHP and WordPress Developer

 Europe

Arthur has over 6 years of experience as a web application developer. He is highly skilled in developing responsive, web-based user interfaces.

  • AWS
  • JavaScript
  • PHP
  • React
  • WordPress
  • AWS
  • JavaScript
  • + 3 more

Daniil | React Native and Node.js Developer

 Europe

Daniil is a full-stack developer with 7 years of experience. He is highly skilled in JavaScript, React.js, Redux, and  Node.js.

  • AWS
  • JavaScript
  • Node.js
  • React
  • AWS
  • JavaScript
  • + 2 more

Ivan | Python and JavaScript Developer

 Europe

Ivan has over 7 years of experience as a web developer. He specializes in JavaScript, TypeScript, Python, Django, React.js, Redux, Redux-Saga, PostgreSQL, and MySQL.

  • AWS
  • JavaScript
  • Python
  • React
  • AWS
  • JavaScript
  • + 2 more

Denis | JavaScript and Node.js Developer

 Europe

Denis is a full-stack web developer with 8 years of experience. He is an expert in various JavaScript technologies including Angular 2+, React.js, Vue.js, and Node.js.

  • AngularJs
  • JavaScript
  • Node.js
  • React
  • AngularJs
  • JavaScript
  • + 2 more

Evgeny | Ruby and Node.js Developer

 Europe

Evgeny is a skilled developer with 8 years of experience. He is an expert in React.js, Redux, Node.js, Express.js, Nest.js, and Ruby.

  • AWS
  • JavaScript
  • Node.js
  • React
  • Ruby
  • AWS
  • JavaScript
  • + 3 more

Alex | Ruby and Node.js Developer

 Europe

Alexander is a developer with 7 years of experience. He specializes in developing web applications using Ruby, JavaScript, and Node.js.

  • AWS
  • JavaScript
  • Node.js
  • React
  • Ruby
  • AWS
  • JavaScript
  • + 3 more

Vadim | PHP and WordPress Developer

 Europe

Vadim is a full-stack developer with 5 years of experience in PHP and JavaScript. He is also skilled in WordPress, Laravel, Vue.js and React.

  • AWS
  • JavaScript
  • PHP
  • React
  • WordPress
  • AWS
  • JavaScript
  • + 3 more

Daniil | ML and Data Science Developer

 Europe

Daniil  is a data scientist with 4 years of experience in machine learning.

  • Machine Learning
  • Python
  • Machine Learning
  • Python

Kirill | ML and Data Science Developer

 Europe

Kirill is a data scientist with 4 years of experience in machine learning.

  • Machine Learning
  • Python
  • Machine Learning
  • Python

Anton | ML, Data Science and Python Developer

 Europe

Anton has 12 years of experience in high-load system development and 7 years of development experience in artificial intelligence, neural networks, and computer vision.

  • JavaScript
  • Machine Learning
  • Node.js
  • Python
  • JavaScript
  • Machine Learning
  • + 2 more

Danil | ML and Data Science Developer

 Europe

Danil is a data scientist with 3 years of experience in machine learning.

  • Machine Learning
  • Python
  • Machine Learning
  • Python

Anton | ML and Data Science Developer

 Europe

Anton is a data scientist with 10 years of experience in software development. He has been a team lead on a number of projects.

  • Machine Learning
  • Python
  • Machine Learning
  • Python

Oleksii | Python and .NET Developer

 Europe

Oleksii is a senior developer with 16 years of experience. He is proficient in mobile and backend development (Python/Django, .NetCore, Dart).

  • all backend
  • Mobile
  • Python
  • all backend
  • Mobile
  • + 1 more

How to Hire AI Developers Through DevTeam.Space

Submit a Hiring Request With Zero Risk
1

Submit a Hiring Request With Zero Risk

Your dedicated tech account manager will then contact you to assess your needs in detail and share our relevant AI expertise.

Get Top AI Developers
2

Get Top AI Developers

AI developers with relevant expertise will be presented for your review. Once approved, we set up the process and get started.

Experience World-class Development Process
3

Experience World-class Development Process

Get supportable and maintainable code, easily communicate, track developers’ performance and payments, and receive daily updates.

Expect the Highest ROI
4

Expect the Highest ROI

Once satisfied with our exceptional quality and dedication, you can easily hire more AI developers to scale your team.

How to Interview and Hire AI Developers

AI Expert | Developer | Writer | Photographer

Do you need to hire AI developers and wondering how to go about it?

Many organizations are already racing to take advantage of artificial intelligence. Studies indicate that AI could contribute $15.7 trillion to the global economy by 2030. It is a booming industry.

AI technologies have already made their mark in diverse sectors like manufacturing, banking, finance, agriculture, healthcare, e-commerce, etc.

Companies use various AI technologies to help transform in-house functions like marketing, customer service, cybersecurity, data analysis, etc. However, they often lack the AI skill sets or don’t have a large enough in-house team to execute complex, strategic AI projects. These organizations need talented AI developers to deliver their projects.

Good AI developers can effectively develop AI solutions that are both powerful and accurate. However, hiring AI engineers without either the skills, experience, or motivation required can derail a project. This makes your hiring decisions extremely important.

You might think it’s enough to hire freelancers. However, this might end up exposing your AI engineering project to high risks. Instead, you should strongly consider hiring top-notch AI engineers from trustworthy hybrid software development companies like DevTeam.Space to ensure the best chance of success. More on this later.

Before you make any hiring decisions, you need to understand the skill requirements. The required AI developer skills for any AI project are as follows:

Primary skills required by an AI engineer

An ideal AI engineer needs expertise in the following broad primary skill areas:

A. Programming languages for AI development

We recommend that you use Python as the programming language of choice in your job description ad. For many developers, Python is the preferred tech stack for AI and machine learning development.

We recommend it because Python is an open-source programming language that offers excellent libraries for AI development. Developers should have skills in well-known libraries like TensorFlow, Scikit-learn, NumPy, SciPy, Theano, Pandas, Keras, PyTorch, Matplotlib, etc.

Do you plan to use AI for a data science project? Data scientists widely prefer Python for these popular libraries.

Java, C++, JavaScript, Julia, and LISP are other programming languages that are used for AI development. Developers should also know how to use suitable IDEs (integrated development environments).

B. Databases and big data

AI developers should know important SQL and NoSQL database management systems. MySQL and PostgreSQL are two prominent open-source SQL databases. MongoDB and Apache Cassandra are well-known NoSQL databases. We recommend that your AI and machine learning engineers should know Hadoop, an important big data framework.

C. In-depth AI technology skills

Developing AI solutions often involve various AI capabilities, e.g.:

  • Machine learning (ML);
  • Natural language processing (NLP);
  • Computer vision;
  • Speech-to-text and text-to-speech.

You need developers with experience in any AI capability that is relevant to your project.

Machine learning is an important one among cutting-edge technologies in the AI space. You will most certainly need AI developers with ML skills. A competent machine learning engineer should know the following:

  • Important machine learning algorithms;
  • How to create machine learning models;
  • Deep learning, neural networks, recurrent neural networks, etc.;
  • How to deploy ML and AI models.

Note: If you plan to execute a data science project, then you need AI developers with relevant experience. You might need experienced data scientists. Since data scientists use data visualization tools like Power BI extensively, you should specify such skills in the job ad. AI developers working on such projects need data engineering and predictive analytics skills too.

Other software development skills needed by expert AI engineers

Expert AI engineers need the following additional skills:

A. Information and application security skills required by AI developers

AI/ML/NLP/computer vision engineers need plenty of data for building and testing AI/ML models. Furthermore, they can deploy AI models only after training them with massive data sets. Naturally, the presence of large data sets creates questions about data security. You must build AI systems that process data securely.

AI developers need practical knowledge of information security, e.g.:

  • Implementing data encryption;
  • Incorporating modern tools like MFA (multi-factor authentication);
  • Fixing bugs and application security vulnerabilities that can be exploited by hackers;
  • Using firewalls, antivirus, etc.
  • Fixing security and compliance testing issues;
  • Modern tools like multi-factor authentication, digital signatures, etc.;
  • Using security tools provided by cloud computing platforms.

B. Industry domain knowledge required by artificial intelligence engineers

You might be planning an AI project to transform certain business processes within your company. Furthermore, you might need to incorporate highly customized business requirements. Talented AI developers with sufficient knowledge of your industry can make a big difference in such an example. Specify your industry domain knowledge as a requirement in your job posting.

Note: DevTeam.Space developers assigned to your project will come with an extensive background in developing applications within your specific industry.

C. Code review skills needed for delivering an AI project

Projects using artificial intelligence, machine learning, natural language processing, or other AI capabilities involve large-scale coding. You need a robust code review process for quality management. Look for developers who know the code review process back to front. Look for programmers with knowledge of code review strategies.

D. Software engineering skills required by AI specialists

Talented AI developers need a thorough understanding of software engineering. They should understand coding best practices. Developers need knowledge of the agile methodology. AI engineers have a good knowledge of testing, defect prevention, etc.

E. Software architecture skills needed for executing AI projects

AI developers need to understand software architecture. Artificial intelligence projects are complex. Sound knowledge of software architecture helps developers to navigate the complexities.

F. Competencies that the best artificial intelligence engineers need

An AI developer needs the following competencies to succeed on complex projects:

  • Teamwork;
  • An ability to understand the standpoint of the end-user;
  • Commitment;
  • Passion for excellence;
  • Problem-solving skills;
  • Communication skills.

How to find experienced AI engineers?

Having understood the skill requirements, initiate the hiring process. Take the following steps:

1. Choose the right platform for hiring top artificial intelligence engineers

Companies develop AI solutions to meet specific business objectives. For them, a lot is at stake. Businesses need high-quality people for the success of their projects. Average or below-par developers can derail the project. This underlines the importance of making the right hiring decisions.

You might think that hiring freelancers is a good idea to save money. Freelance platforms do allow you to negotiate a low hourly rate. We emphatically don’t recommend this for AI development projects.

You will likely find it hard to manage freelancers. They work only part-time on your project, therefore, you might not get enough focus from them. Freelance platforms also don’t offer any project management support and you will need to find replacement developers if freelancers leave your project mid-way.

To ensure you get the best value for your money, you should consider hiring full-time AI engineers from a trustworthy software development company like DevTeam.Space. Our developers have relevant expertise and work full-time for our platform. They are highly experienced and motivated. We train them on our AI-powered agile process which ensures they are able to efficiently onboard and offboard while also maintaining our high standards of excellence at all times.

DevTeam.Space provides project management support. Our consistent focus on quality mitigates your risks. Read our reviews on Clutch to find out what our clients are saying about us.

2. Interview candidates

After choosing a hiring platform, you posted your job ad. Now you need to interview your candidates. Use our set of interview questions if you need help:

Ask questions that help you evaluate the hands-on skills of your candidate AI engineers. Assess how they solved problems on their past projects. Describe your project and ask candidates how they would approach it.

3. Onboard AI engineers

Onboard the AI developers that you hired. You need to take the following steps:

  • Share project documents and explain your project.
  • Grant access to developers.
  • Introduce the new team members to your existing team.
  • Describe the project schedule to developers.
  • Explain the work approval process.
  • Set up a communication process with the new developers and establish accountability.

Useful tips to hire AI engineers

Keep the following aspects in mind when hiring artificial intelligence developers:

A. Hire a capable team leader if you hire remote AI engineers

Remote AI engineers can boost your project’s chances of success. A huge number of organizations have built fantastic products by engaging remote AI developers. You can do so too. However, you need a competent team leader. Leading a remote team takes more effort, which makes a great team leader more important.

Note: For companies hiring developers from DevTeam.Space, we provide a dedicated account manager free of charge who is a senior developer and is tasked with managing all the developers that you hire. If you hire a team from us then you won’t need to hire a PM to manage the team unless you want to do so.

B. Check whether developers have experience in cleaning data for training and testing AI models

High-quality data is important in AI/ML projects. Businesses often use low-quality data. They need AI developers that know how to prepare your data for testing and training. AI engineers need to understand data structures well, furthermore, they must also know how to analyze unstructured data. They should also understand how to cleanse data. Check whether candidates have this experience as it is vital.

C. Avoid hiring developers from multiple hiring platforms

Large and complex AI projects often require several developers. If you need to hire multiple developers, then you might think of hiring from different platforms. You will spend considerable time trying to integrate their remote work. In this case, we strongly recommend that you hire a complete AI development team from DevTeam.Space instead. Such a team is cohesive and easier to manage, and since ours come with a manager free of charge, will save you from a great deal of headaches.

Sample interview questions to use when you hire AI developers

Ask questions that help you evaluate the hands-on experience of AI engineers, e.g.:

A. Describe your experience of developing virtual assistants.

Answer:

This is an open-ended question. Developers should talk about what they found in the requirements, e.g., specifics of user behavior. They should describe the various challenges they faced. These challenges could include technical and other issues. Candidates should explain how they analyzed the root causes of the issues. They should explain how they solved the challenges.

B. Describe the information security challenges you faced in an AI project.

Answer:

In response to this open-ended question, expect developers to describe the kind of sensitive data used in the project. They should then describe the data security threats they encountered. Developers should talk about the information security solution they designed and implemented.

C. Talk about your experience of implementing a machine learning algorithm.

Answer:

When replying to this open-ended question, developers should describe a summary of the project requirements. They should then explain how they chose an ML algorithm to meet these requirements. Developers need to describe the data cleansing work that they did. They might have used a library of a popular programming language like Python, so they should describe how.

D. Can you explain the concept of transfer learning in the context of training AI models, and how does it benefit the development process?

Answer:

Transfer learning is a technique in machine learning where a pre-trained model, usually trained on a large dataset, is fine-tuned for a specific task using a smaller dataset. Instead of training a model from scratch, transfer learning leverages the knowledge learned by the pre-trained model, which often includes features and patterns that are generally useful across tasks.

This approach speeds up training and requires less data for the new task. The benefits of transfer learning include faster convergence, better generalization, and the ability to handle new tasks with limited data. It’s crucial for AI engineers to choose the right pre-trained model architecture and adapt it effectively to the target task.

E. Explain the concept of attention mechanisms in deep learning models. How have they revolutionized the field of natural language processing (NLP)?

Answer:

Attention mechanisms are a mechanism in deep learning models that allow the model to focus on different parts of input data with varying levels of importance. In NLP, attention mechanisms have played a pivotal role in improving the quality of language models, especially in tasks like machine translation and text generation.

The mechanism enables the model to pay selective attention to specific words or phrases during different steps of processing, allowing it to capture long-range dependencies and improve the contextual understanding of the input text. Transformer-based models, like the BERT and GPT architectures, have gained popularity due to their effective utilization of attention mechanisms, leading to significant advancements in various NLP tasks.

F: Describe the trade-offs between using CPUs and GPUs for training AI models. When would you choose one over the other, and how can you optimize the utilization of each?

Answer:

CPUs and GPUs have distinct strengths and weaknesses when it comes to training AI models. CPUs are better suited for tasks that require sequential processing and high single-threaded performance. They are essential for tasks involving data preprocessing, model orchestration, and scenarios with limited parallelism. On the other hand, GPUs excel at parallel processing, making them ideal for deep learning training tasks due to their ability to process multiple computations simultaneously. GPU clusters are commonly used for training large-scale models.

To optimize utilization, developers can employ data parallelism techniques that distribute batches of data across multiple GPUs for training. Additionally, tools like CUDA and cuDNN help optimize GPU performance by harnessing their parallel processing capabilities effectively. The choice between CPUs and GPUs depends on the nature of the task, the size of the dataset, and the available hardware resources.

Submit a Project With Zero Risk

Developing an AI-driven solution can involve lots of hard work that requires expert knowledge of AI tools and implementation practices.

Planning and executing AI projects aligned with your organizational AI strategy can be highly complex exercises. Many factors influence the outcome of such projects, and a great software development team is one of them. We can’t overstate the importance of competent developers. You need to hire the best artificial intelligence engineers.

DevTeam.Space is a community of experienced field expert designers, engineers, and top AI professionals. Our dedicated developers are fully vetted and work for us full-time. We train them to use our unique AI-powered agile process which not only streamlines the development process but makes onboarding them and offboarding them much easier.

We provide experienced and motivated AI developers with expertise in your industry segment.

Wondering how we can help you? Fill out our DevTeam.Space product specification form and one of our experienced account managers will get in touch to answer any questions that you might have.

FAQs

DevTeam.Space offers first-class AI software development experts as well as AI development teams. We have elite AI engineers with relevant expertise to your industry. They take advantage of our world-class development processes. That makes DevTeam.Space just the right partner for companies hiring AI developers.

When you hire artificial intelligence engineers from DevTeam.Space, your project is backed by our comprehensive AI experience. You get the benefits of our AI-powered agile processes. Our focus on quality helps you develop cutting-edge AI solutions within budget. You also get supportable and maintainable code.

DevTeam.Space doesn’t only have technical expertise but we also have extensive project management capabilities. You get complementary support from a dedicated tech account manager when you hire developers from us. In addition to providing oversight of the work done by our programmers, the account manager offers project management support.

When hiring AI developers, focus on candidates with experience creating world-class AI apps. Look for expertise in machine learning algorithms, as well as a track record of successfully developing AI-driven solutions.

To ensure success, prioritize hiring an experienced AI developer with expertise in developing AI-driven solutions. Look for a strong background in machine learning algorithms and proven experience as an AI engineer to ensure your project's implementation and future maintenance are in capable hands.

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DevTeam.Space is a vetted community of expert dev teams supported by an AI-powered agile process.

Companies like Samsung, Airbus, NEC, and startups rely on us to build great online products. We can help you too, by enabling you to hire and effortlessly manage expert developers.