How to Hire AI Engineers: Job Description, Pay, and More

Updated October 2026

AI engineers work across industries to design, build, integrate, and maintain AI-powered solutions. As organizations expand their use of generative AI, machine learning, automation, and AI agents, they need technical expertise that can turn business needs into reliable systems.

If you’re looking for guidance on how to hire AI engineers, understanding the skills and experience your organization needs can help you build a stronger job description and evaluate candidates more effectively. We’ll cover common AI engineer responsibilities, skills and qualifications, pay, and interview questions to consider during the hiring process.

What to Include in Your AI Engineer Job Description

Before writing an AI engineer job description, define the problems you need this person to solve. AI engineering roles can vary significantly depending on the organization’s technology environment, use cases, data, and existing AI capabilities.

For example, an organization developing generative AI applications may prioritize experience with large language models (LLMs), retrieval-augmented generation (RAG), and AI application development. A team deploying predictive models may need stronger machine learning and MLOps expertise. Organizations integrating AI into existing enterprise systems may prioritize cloud architecture, APIs, data engineering, and systems integration.

Examples of job duties to list in your description include:

Designing, developing, and testing AI-powered applications and systems
Building and optimizing machine learning or generative AI models
Integrating AI models with enterprise applications, data sources, and workflows
Developing and maintaining AI pipelines and infrastructure
Evaluating model performance, accuracy, reliability, and cost
Deploying and monitoring AI systems in production
Troubleshooting models, applications, and integrations
Supporting AI security, governance, privacy, and responsible-use requirements
Collaborating with data scientists, data engineers, software engineers, product teams, and business stakeholders

Top Skills to Look for When Hiring AI Engineers

When learning how to hire an AI engineer, the skills section of your job listing is another important element to consider. This section helps filter out under qualified candidates and also gives applicants a better sense of the nature of the position. Skills to put on an AI engineer job listing include:

Communication
Knowledge of machine learning and deep learning
Natural language processing (NLP)
Statistics and probability
Programming
Data analysis
Problem-solving and critical thinking
Cloud computing
Research skills
Detail orientation

AI Engineer Education and Qualifications

Required qualifications will vary depending on the role of the AI engineer at a company. Some businesses require a bachelor’s or master’s degree in computer science or a related field.

In addition to or substitute of a degree requirement, you might list a combination of experience and certification programs.

Python and other relevant programming languages
Machine learning and deep learning
Generative AI and large language models
Natural language processing
AI frameworks and libraries such as PyTorch and TensorFlow
Cloud platforms such as Microsoft Azure, AWS, or Google Cloud
APIs and AI application integrationData engineering and data management
MLOps and model deployment
Model evaluation and monitoring
AI security, governance, and responsible AI
Problem-solving and critical thinking
Communication and cross-functional collaboration

AI Engineer Pay

According to Salary.com, the average salary for an AI engineer in the U.S. is $115,669 as of October 2026, with the 25th to 75th percentile ranging from approximately $107,833 to $125,338. Compensation can vary significantly based on experience, location, specialization, and employer.

Technology is also changing how employers evaluate candidates. In Insight Global’s AI in Hiring 2025 Survey Report, 57% of hiring managers said they use AI for skills assessments. Even with technology supporting candidate evaluation, employers still need interview questions that help them assess an AI engineer’s technical expertise, problem-solving skills, and experience.

Interview Questions for Hiring AI Engineers

Once your job listing has attracted some qualified applicants, it’s time to move to the interview stage! Below are some example interview questions you can ask to gauge a candidate’s fit for the role.

Describe your previous experience with AI-related projects.
What are some machine learning models you’ve worked on?
Describe challenges you’ve faced on an AI project and how you overcame them.
How would you explain a complex AI concept to someone who didn’t specialize in AI?
How do you manage more than one project at once?
What programming languages do you have experience with?
How do you handle conflicts within a team dynamic?
Describe a time you had to work with an interdisciplinary team on an AI project.

Find the AI Expertise Your Organization Needs

With AI software coming out of its infancy, more companies are looking to hire AI engineers. Are you one of them?

If you’re interested in hiring an AI engineer, Insight Global can help. We work with businesses all over the globe to find qualified workers in every industry.