AI Developer Job Description and Top Skills

An AI developer designs, develops and implements AI solutions that help organizations improve operations and decision making, working with large data sets and machine learning techniques to build accurate, reliable models. This AI developer job description template can be posted to job boards and career pages to help you find the right candidate quickly.

AI Developer Job Description

We are looking for a skilled AI developer to design, develop and implement AI solutions that help our organization optimize operations and decision making. The ideal candidate has a background in computer science or a related field, proficiency in programming languages such as Python and R, expertise in machine learning techniques and algorithms, strong problem solving skills, and the ability to communicate effectively with cross functional teams.

What an AI Developer Does

• Designs and develops machine learning models and algorithms that process and analyze large data sets.
• Writes code in languages such as Python, R and Java to build, train and deploy AI models.
• Handles data preprocessing and data cleaning to ensure data sets are accurate and suitable for analysis.
• Collaborates with cross functional teams, including data scientists, software engineers and business analysts, to align AI models with business objectives.
• Tests and validates AI models to confirm they are accurate, reliable and meet requirements.
• Stays current with the latest AI technologies, tools and techniques.
• Troubleshoots and debugs issues that arise during development and deployment.

What We Are Looking For

• A degree in computer science, mathematics, statistics or a related field; equivalent work experience may also be considered.
• Proficiency in programming languages such as Python, R and Java; familiarity with deep learning frameworks such as TensorFlow, PyTorch and Keras is a plus.
• Expertise in machine learning techniques and algorithms, including supervised and unsupervised learning, neural networks and natural language processing.
• Experience handling large data sets, including data preprocessing, cleaning and analysis.
• Strong problem solving skills and the ability to develop innovative solutions to complex problems.
• Strong communication skills for working with data scientists, business analysts and software engineers.
• Industry specific experience, such as working with healthcare or financial data, is a plus for some roles.

How Success Is Measured

AI developer performance is often tracked through model accuracy, model training time, and performance metrics such as precision, recall and F1 score. Scalability, or how well a model handles growing data volumes, and ongoing management of technical debt in the codebase are also common measures of a strong AI developer’s impact.

Frequently Asked Questions

What programming languages should an AI developer candidate know?
Python is the most common requirement, often alongside R or Java, with familiarity in a deep learning framework such as TensorFlow or PyTorch being a strong plus.

How can I evaluate a candidate’s machine learning expertise during the interview?
Ask candidates to walk through how they built and validated a specific model, including how they handled data preprocessing and measured accuracy, since this reveals hands on experience rather than just theoretical knowledge.

Does an AI developer need industry specific experience?
Not always, but for regulated industries like healthcare or finance, prior experience working with that industry’s data can significantly shorten ramp up time.

How Glider AI Can Help You Hire an AI Developer

Glider’s recruitment platform is built on the principle of competency over credentials, helping you evaluate candidates through a structured, data driven process. With access to a large library of pre built assessments covering programming, machine learning and data handling skills, you can screen candidates for this role using our skill assessment platform rather than relying on resume claims alone.