Hire Artificial Intelligence (AI) Developers Better
The role of Artificial intelligence (AI) developers is leading innovation and change and reshaping industries, which means the decision to hire Artificial Intelligence developers is more than a strategic move: it’s a necessity for businesses aspiring to stay at the forefront of technological advancement. AI developers are the architects behind intelligent solutions that can drastically enhance service offerings, optimise operations, and unlock new opportunities for growth and competitiveness, so their role is more relevant than ever in digital teams.
Sourcing the right AI talent requires a careful assessment of a range of factors. In the first place, managers looking to hire AI developers must evaluate the candidates’ technical expertise in AI technologies and methodologies and their ability to understand and align with business objectives and integrate AI into the organisation’s existing systems. At the same time, AI must be highly adaptable to fast-evolving digital AI trends, excel at creative problem-solving, cross-team collaboration, and communication, and, due to the critical nature of AI, have a commitment to ethical AI use.
Top Tech Skills Organisations Hiring Artificial Intelligence Developers Developers Look for in a CV
Companies hiring AI Developers typically seek a combination of technical competencies and soft skills. A successful DevOps engineer should be able to manage the business’s development and operations seamlessly. Here are the top tech skills that are often highlighted in AI Developer job descriptions:
Proficiency in Python, R, Java, and C++ is essential for Artificial Intelligence Development. Most organisations use Python, particularly due to the extensive libraries and frameworks that facilitate AI and machine learning (ML) tasks.
A strong knowledge of Machine Learning (ML) and Deep Learning (DL) concepts and algorithms (such as neural networks, reinforcement learning, and supervised and unsupervised learning) is essential for developing AI models that can learn from and make decisions based on data.
Proven experience in Natural Language Procesing (NLP) is demanded for all AI projects involving understanding and generating human language, enabling applications like chatbots, translation services, and sentiment analysis.
Experience with computer vision techniques allows AI developers to work on projects that require image and video analysis, e.g. facial recognition systems, object detection, and automated inspection.
The ability to design effective models and evaluate their performance is key to success as an AI developer. This includes understanding how to select the right model for a given AI task and measuring its accuracy and efficiency.
A strong understanding of neural networks, including convolutional and recurrent neural networks, is important for tasks related to deep learning, image recognition, and NLP.
Familiarity with AI and ML libraries and frameworks, such as TensorFlow, PyTorch, Keras, and Scikit-learn, is essential for implementing and testing AI models, so proven experience in AI and ML libraries and frameworks will get AI developers to stand out as candidates.
Soft Skills To Look For When You Hire AI Developers
Beyond technical knowledge, hiring managers highly value the ability to creatively solve complex problems using AI technologies, as this proves candidates can innovate and apply AI solutions to the real-world challenges a job in AI engineering requires.
Communication skills stand out from the list of desired skills, too. AI developers must articulate complex concepts and technical details clearly to technical and non-technical stakeholders and adapt their explanations to be understood by everyone. Additionally, creativity and critical thinking are invaluable soft skills in AI development. Working on Artificial Intelligence projects often requires innovative approaches to find solutions, so AI developers must think outside of the box.
AI projects typically involve cross-functional collaboration with data scientists, software engineers, product managers, and others. Therefore, hiring managers should look for candidates who demonstrate empathy and adaptability to overcome the challenges of working in diverse teams.
What’s the difference between AI Developers and AI Engineers?
While the job titles AI developers and AI engineers are often used interchangeably, the tasks each AI professional is expected to perform can vary significantly depending on an organisation’s specific needs and terminology.
- AI Developers focus on the application side of AI technologies, typically designing and implementing AI models within software applications to solve specific problems or enhance the application’s capabilities. So, AI developers usually have strong programming skills and vast experience with AI frameworks and libraries to apply AI models in practical, user-facing scenarios.
- AI Engineers have a broader scope that encompasses not just application but also the creation, training, and refinement of AI models. They might work on many AI projects, new AI algorithm development, model parameters, AI system performance experiments, or AI system scaling in production. AI engineers often have a deep understanding of machine learning, deep learning, data science, and computational mathematics.
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What’s the background of AI Developers? Do companies ask for Degree-Qualified AI professionals?
AI Developer backgrounds are diverse, ranging from Computing Science, Data Science, and Mathematics to Psychology and even Philosophy. While technical bachelor’s degrees provide a foundational understanding of AI methodologies and technologies, the digital industry increasingly values experience over formal education.
Artificial Intelligence Developers can work in diverse areas, such as business development, game development, web development or app development, among others. So, there are different paths to getting into an AI job, depending on the career path chosen.
Furthermore, bootcamps, professional certifications, and personal projects can help candidates improve their professional portfolios. Here’s a list of well-ranked professional qualifications in Artificial Intelligence Development:
- IBM AI Engineering Professional Certificate (Coursera)
- Microsoft Certified: Azure AI Engineer Associate
- Google Cloud Professional Machine Learning Engineer
- DeepLearning.AI TensorFlow Developer Certificate (Coursera)
- NVIDIA Deep Learning Institute Certifications
- AWS Certified Machine Learning – Specialty
- Professional Certificate in Foundations of AI (edX)
Challenges Employers Face When Hiring AI Developers
Recruiting Artificial Intelligence Engineers in the highly competitive UK job market is especially challenging for startups, SMEs and large corporations. These are the top challenges employers face when they want to grow their developer team with AI-skilled talent:
Artificial Intelligence is evolving rapidly while becoming a more relevant area of expertise inside of Digital and IT. However, the supply of skilled AI developers hasn’t kept pace with demand. This issue creates a highly competitive environment for organisations looking to hire top talent, as hiring managers look for candidates with the right skills and experience in a relatively small candidate pool.
As AI technology’s influence grows, it becomes increasingly difficult for hiring managers to assess candidates’ technical abilities accurately, i.e., determine proficiency in AI programming languages, understand ML algorithms, and examine their actual experience with AI frameworks and tools.
As we mentioned earlier, AI developers need to excel at problem-solving, creativity, and effective communication, not just to be technically capable but to succeed in a work environment where teamwork, innovation, and communication are essential. Attracting candidates who excel in both areas and share the company’s values and culture is particularly challenging.
AI has led tech and digital changes and advancements in recent years. Consequently, employers seek candidates with a flexible and adaptable mindset, committed to continuous learning and development. Finding qualified AI developers who can adapt easily is not without challenges.
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The information on this page is correct at the time of publication. However, as technology evolves so rapidly, the requirements of this role may change. For tailored hiring advice unique to your circumstances, please speak to our expert team of IT, Digital and Marketing recruiters.
