Artificial Intelligence is an advanced technology helping businesses grow at a faster rate. Artificial intelligence (AI) is playing a significant role in transforming the global economy. According to Goldman Sachs, AI is expected to increase GDP by $7 trillion over the next 10 years.

Businesses looking to enhance their business must act now. Opt for AI and experiment with it as early as possible. It will deepen their commitments by automating repetitive tasks and enhancing decision-making. Around 70% of all AI transformations fall short of expectations with executives facing the key challenge of a lack of AI expertise. The shortage of AI skills can take a toll on business growth. By 2026, more than 90% of organizations globally will be impacted due to a shortage of the right skills, resulting in quality issues and revenue loss.

“Getting the right people with the right skills into the right roles has never been so difficult”, says one of the research directors in the IT industry. Hence, to overcome these challenges, IT leaders must understand and take the right steps during the hiring process. So, what are the steps that businesses must follow to hire potential AI developers?

Key Takeaways

  • Artificial Intelligence (AI) is set to contribute $7 trillion to global GDP within the next decade.
  • 70% of AI projects fail due to the shortage of skilled professionals and poor hiring strategies.
  • By 2026, over 90% of organizations will face operational challenges due to AI talent gaps.
  • Hiring AI developers with the right skills, experience, and cultural fit is essential for sustainable growth.
  • OZVID Technologies specializes in delivering top-tier AI solutions tailored to diverse industry needs.

Steps to Hire AI Developers for Business Growth

Are you looking to hire the best AI developer for your business? Are you already interviewing the candidates? But before you jump directly into the hiring/interview process, ensure that you take care of a few points. Let’s dive in:

Define Your Needs:

Are you developing a new product? Do you want to integrate AI into your existing solution? Be aware of your business needs. Having in-depth knowledge of the business and technology you want to use, help you hire someone with in-depth knowledge. So, start making a genuine list of all the skills you want in the AI developers and the results you want to achieve. Further, determine the type of AI project you will be working on and know the necessary skills required that will align with your project goals.

Authentic Job Description:

Is your job description authentic? Most companies put out job descriptions that are less authentic and do not align with the experience level of candidates. For example, asking for advanced AI skills from a fresher. So, make sure your job description is true to the job, compelling, and clear. Also, highlight what makes your company stand out and the perks that you will offer to the candidates.

According to LinkedIn, a well-written job description attracts 30% more potential applicants. Your job description must tell the responsibilities of candidates and what you are expecting from them. Also, mention the skills required for the job.

Candidate Screening:

Candidate screening is essential. Ensure that you are moving forward with the potential candidates only. Read the resume/portfolio and review it carefully. Also, while hiring for an AI project, remember experience in Artificial Intelligence, machine learning, and deep learning matters a lot. Ensure that the candidate is good at coding, and has hands-on experience. Therefore, screening candidates is necessary based on their previous projects, internships, or their contribution to the open-source AI platform. You can also check the GitHub or LinkedIn profiles of the candidates.

Conduct Thorough Interview:

​AI development demands a lot of skills. Among all other skills, Python is the most common programming language used in developing AI apps or software. While hiring AI developers, ensure that they are good and have a deeper knowledge of data science, data analytics, and data visualization tools. Ensure to test the skills of the candidate through technical assessment and coding challenges. So, how does the interviewer assess the knowledge? Well, ensure that you prepare a mix of technical and behavioral questions. Ask them if they have worked on some specific AI tasks. Also, ask them how they stay updated with the latest AI trends.

Assess Cultural Fit:

You might be thinking that having skills is enough. But is it? Well, with skills, the candidate must be a culture fit. According to Glassdoor, 77% of employees look for an organization’s culture before applying to the organization. Hence, it is crucial for companies that candidates align with your company values and can work well in the team.

Offer Competitive Salary:

A good talent always comes with a price. You cannot expect to hire a great talent at a low salary. According to Glassdoor, the average salary of an AI developer is around $114,000 per year. So, ensure that your salary matches the average salary of AI developers. Offering higher salaries attracts potential AI developers, helping you hire the best.

Hire AI Developer: Top Skills to Look For

There is constant growth that we can see in the field of Artificial Intelligence. Hence, here are the must-have skills of AI developers:

Programming Language:

AI development demands proficiency in programming languages that support data manipulation, algorithm implementation, and integration with AI frameworks. Proficiency in these languages ensures developers can build, optimize, and maintain AI models effectively.

  • Python is the dominant language in AI due to its simplicity and extensive libraries such as TensorFlow, PyTorch, and Keras. A top AI developer must be adept at Python coding and troubleshooting.
  • ​R is often used for statistical analysis and data visualization.
  • Familiarity with Julia or Go can be a plus for specific AI tasks.

Data Modeling and Engineering:

Data is what makes AI work, so AI engineers need to be good at handling data. They should know how to collect data from different sources, clean it up by fixing mistakes or filling in missing information, and then organize it in a way that’s easy to analyze. They need to be comfortable using databases. They should know how to work with SQL databases, which store data in neat tables, and NoSQL databases, which are more flexible and can handle different types of data, especially when there’s a lot of it. To deal with big amounts of data, AI engineers often use powerful tools like Apache Spark and Hadoop that help process data quickly and efficiently.

Big Data Analytics:

​AI engineers should be able to look at large amounts of data and find important information from it. To do this, they use special tools like SparkSQL, Apache Flink, Apache Arrow, and Google Cloud Platform to search and work with big sets of data quickly. If you want to learn how to do this, our Big Data Fundamentals with PySpark course teaches the basic ideas of big data analysis and is a great place to start.

Machine Learning Models:

This means they should know about supervised learning (where the model learns from examples with answers) and unsupervised learning (where the model finds patterns without answers). They should also be familiar with deep learning techniques like convolutional neural networks (CNNs), which are used for things like image recognition, and recurrent neural networks (RNNs), which work well with data that comes in sequences, like text or speech. It’s also important for AI engineers to know how to measure how good their models are. Some common ways to check this include:

  • Accuracy: How often the model makes the right prediction.
  • Precision: How many of the positive predictions are correct?
  • Recall: How many of the actual positive cases the model found?
  • Root Mean Square Error (RMSE): How far off the model’s predictions are from the real values.
  • Mean Absolute Error (MAE): The average size of the errors in predictions.
  • F1 Score: A score that balances precision and recall.

AI and ML Services:

AI engineers should know about cloud AI and machine learning services from big companies like AWS, Azure, and Google Cloud. For example, AWS Bedrock offers ready-made AI models that you can use easily. Google’s Vertex AI has new tools that make it simple to use big language models. These services give you pre-built AI models, easy-to-use tools, and APIs (ways for different software to talk to each other), so you don’t have to write a lot of code to build smart apps.

Cost to Hire AI Developers

The average annual salary of AI developers in 2025 ranges from approximately $50,000 to $300,000 or more, depending on the experience of the developer. Also, the cost depends on numerous other factors such as:

Geographic Location: Costs vary by region, with the USA and tech hubs paying the highest, while Eastern Europe, Latin America, and Asia offer more affordable options.

Technical Skills: Specialized expertise in deep learning, NLP, computer vision, and cloud AI services commands higher pay.

Industry Sector: High-value industries like finance, healthcare, and autonomous systems pay premium salaries due to project complexity.

Demand and Supply: A global shortage of AI talent drives competitive salaries and benefits.

Employment Type: Full-time hires have fixed costs, while freelancers and outsourcing can be more flexible or cost-effective.

Education and Certifications: Advanced degrees and certifications increase earning potential by 20–40%.

Final Words

In conclusion, AI has changed the engineering field and carries immense potential to change businesses. By hiring the right candidate you can grow your business and enhance revenue. So, are you looking to hire AI developers for your business growth? You are in the right place. We at OZVID Technologies offer the best AI solutions to industries from various verticals globally. Our team is renowned for providing businesses with the most authentic and innovative AI solutions that help them automate, streamline, and simplify their business.

Want to stay ahead of your competitors? Contact us today, and learn how we can take your business ahead.

FAQ's

1. Why is hiring the right AI developer important for business growth?

A skilled AI developer helps automate business processes, improve data-driven decisions, and build smart systems. They turn raw data into useful insights, saving time and boosting productivity. The right hire ensures your AI projects succeed, giving your business a competitive edge in today’s fast-moving digital world.

2. What skills should I look for when hiring an AI developer in 2025?

Look for expertise in Python, machine learning, deep learning, and data analytics. Developers should also know tools like TensorFlow, PyTorch, and cloud services like AWS or Google Cloud. Problem-solving ability, hands-on experience, and strong math and statistics skills are also important to build and maintain successful AI systems.

3. How to check if an AI developer is the right fit for my company?

Check their portfolio, technical skills, and understanding of your business needs. Ask practical questions during interviews and give them coding tasks. Also, assess if they can work well with your team and adapt to your company culture. A good cultural and skill fit ensures better teamwork and long-term success.

4. What are common mistakes to avoid when hiring AI developers?

Avoid unclear job descriptions and skipping proper technical assessments. Don’t hire based only on degrees—focus on real-world experience and project work. Make sure the developer understands your goals and fits your company culture. Ignoring these factors can lead to delays, poor results, and wasted hiring efforts.

5. How long does it take to hire a skilled AI developer in 2025?

Hiring a skilled AI developer can take 3 to 6 weeks, depending on your process and market demand. To save time, define your needs clearly, write a strong job post, and use platforms like LinkedIn or trusted partners like OZVID Technologies to find qualified candidates quickly and efficiently.