Hire Expert AI Engineers

AI engineers in the USA typically earn $103,140 to $172,468 annually, depending on experience, location, and tasks. Senior engineers cost more because they design AI architectures from scratch. On the other hand, junior engineers are more affordable, typically handling data prep and supervised tasks. Costs also vary based on whether you hire hourly or on a contract basis.

You need AI engineers because the companies you compete with are already using AI to save money and move faster. They build custom tools like chatbots for customer support, predictive models for sales forecasting, or systems that analyze documents automatically. If you want to stay competitive, AI engineers can help you automate your operations, super-charge your employees, save money, and make smarter decisions.

AI engineers should possess the following technical skills:

• Math and statistics expertise, so the algorithms of your prediction models are accurate
• Python proficiency, to make automations faster and more efficient
• Machine learning frameworks like PyTorch and TensorFlow, to optimize models for tasks like customer targeting and risk assessment
• Data handling and data engineering with databases (SQL, NoSQL), to help handle large datasets commonly used by customer analytics and inventory systems
• Deployment platforms like cloud environments (Azure, AWS), to help AI tools work 24/7, handle traffic spikes, and integrate with your CRMs and ERPs

Data scientists analyze data to find patterns and insights; AI engineers build systems that use those insights to automate decisions and processes. They often work together to turn data into actionable, scalable solutions.

If you need AI systems that automate content production or enhance customer interactions, you should hire generative AI engineers. As examples, they can help you:

• Instantly create email drafts, product descriptions, social media captions, or marketing copy
• Make chatbots that respond naturally and intelligently to queries, directing them to relevant content when needed
• Get personalized reports, summaries, or design assets

You should hire based on your project’s needs and complexity. Hire senior engineers if you need to design and develop complex AI systems (e.g., custom models or recommendation engines). Hire junior engineers if you need someone to handle data prep, testing, and system maintenance once the core is built.

If your project requires both development and ongoing support, consider hiring both. For example, if you are building a predictive sales model, a senior engineer can handle the architecture. The junior engineer can then manage data updates and system upkeep. This ensures your AI system is built well and maintained effectively.

Hiring AI engineers from DevTeam.Space is simple. First, we help you define your project scope and objectives. Next, we determine whether you need a few engineers or a full team (developers, QA specialists, and a project manager). You can either choose from pre-vetted candidates or hire an entire team to manage the project from start to finish. A project manager will then reach out to guide you through the process and set clear expectations. Finally, we help onboard your new team, integrating them into your existing team or handling the entire process for you.