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AI Engineer Job Description: Top Duties and Qualifications

Edited by Indeed Employer Content Team
Last updated November 6, 2025
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Indeed’s Employer Resource Library helps businesses grow and manage their workforce. With over 15,000 articles in 6 languages, we offer tactical advice, how-tos and best practices to help businesses hire and retain great employees.

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4 min read

An AI Engineer, or AI Developer, develops and trains artificial intelligence tools to help automate processes for businesses. Their duties include designing and programming artificial intelligence systems, testing the machine learning tools they develop and resolving issues with the algorithms and data to ensure the system works correctly.

AI Engineer duties and responsibilities

Your AI Engineer job description should include the specific duties and responsibilities of the role. The specific job duties might vary, but some common options include:

  • Evaluating machine learning processes
  • Collecting and analyzing large amounts of data
  • Programming AI software to utilize large amounts of data
  • Developing and deploying AI algorithms
  • Collaborating with other team members to establish goals for AI processes
  • Evaluating the effectiveness of AI
  • Managing data and project infrastructure
  • Staying up to date on the latest AI developments

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AI Engineer Job Description Examples

Example 1

Requirment
  • At least 3 years of experience putting Machine Learning models into production.
  • MLOps tools: Experience using Mlflow or similar tools for lifecycle management of machine learning models.
  • Docker: Experience in using Docker to create reproducible and scalable environments.
  • Machine Learning Models: Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
  • LLM Implementation: Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models. Using GPTs, Llama, or any other LLM
  • Solution Architecture Validation: Ability to perform solution architecture validations for LLMs. GenAIOps: Experience in putting Generative AI (GENAI) models into production and providing support to them.
  • Experience with Cloud Computing: Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.
  • Software Engineering Skills: The ability to write clean, efficient, and reusable code is essential in MLOps roles.
  • Experience with APIs: Experience in developing and using APIs can be useful for integrating models into existing applications.

Job Types: Full-time, Contract

Pay: $42.24 - $70.00 per hour

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
Experience level:
  • 10 years
  • 11+ years
  • 8 years
  • 9 years
Schedule:
  • 8 hour Location: Remote

Example 2

Senior Conversational AI Engineer

Remote

Contract

Job Description:

We're looking for a highly skilled Senior Conversational AI Engineer who excels at designing and implementing chat systems using the [website] platform. Our ideal candidate is well-versed in [website] code and has a robust understanding of other Conversational AI platforms like Bot Framework, PVA, and Cognigy. This role is instrumental in revolutionizing our customer interactions through top-tier AI technology.

Responsibilities:

1. Architect, develop, test, and enhance chatbots using the [website] platform.

2. Implement advanced natural language processing systems.

3. Develop high-quality, scalable chat solutions using [website] or/and Python.

4. Work closely with various teams to define, create, and integrate new features.

5. Drive application design and development processes from start to finish.

6. Analyze and improve existing systems, bearing in mind budget constraints and technical complexity.

7. Utilize cloud computing for efficient bot deployment to a worldwide clientele.

8. Stay updated with latest trends and advancements within AI and chatbot technologies.

Requirements:

1. A Masters/Bachelors degree in Computer Science (or equivalent).

2. A minimum of 10 years of hands-on experience in software development.

3. Expertise in the [website] chatbot platform.

4. Proven experience in [website], with a good understanding of other programming languages (i.e: Python).

5. Firm grasp on cloud-based application deployment.

6. Deep knowledge of AI, machine learning, natural language processing and associated technologies.

7. Extensive experience with other Conversational AI platforms like Bot Framework, PVA, Cognigy are an added advantage.

8. Exceptional problem solving, critical thinking, and communication skills.

9. Excellent organization skills with the ability to manage multiple projects simultaneously.

10. Ability to adjust and thrive in a fast-paced environment with changing priorities.

Job Types: Full-time, Contract

Pay: $100.00 - $110.00 per hour

Expected hours: 45 per week

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
Experience level:
  • 10 years
  • 11+ years



Experience:
  • [website] chatbot platform: 5 years (Required)
  • Python: 5 years Location: Remote
Our mission

Indeed’s Employer Resource Library helps businesses grow and manage their workforce. With over 15,000 articles in 6 languages, we offer tactical advice, how-tos and best practices to help businesses hire and retain great employees.

Read our editorial guidelines
Job Description Best Practices
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What does an AI Engineer do?

AI Engineers develop a wide range of artificial intelligence tools that help automate processes. They train computers to think and work more like humans to offer automation solutions. Examples of AI tools include chatbots, translation tools, predictive text and virtual assistants.

Engineers follow the project through all stages of development, starting with conceptualizing the AI tools the business needs. This step involves collaboration with other teams to get a well-rounded idea of what they need to include in the design. AI Engineers design, test and deploy the AI tools to help ease pain points within the workflow. The job involves analyzing and organizing massive amounts of data, programming the software, troubleshooting any issues and putting the tools out to the team for use.

AI Engineer skills and qualifications

To be successful, an AI Engineer candidate should demonstrate specific skills and qualifications. Consider adding these AI Engineer requirements to your job description:

  • Solid understanding of data science
  • Proficiency in coding languages and software programming
  • Strong analytical and problem-solving skills
  • Teamwork, communication and collaboration skills
  • Aptitude for math and statistics
  • Self-motivation
  • Deep understanding of how artificial intelligence works
  • Attention to detail and concentration

AI Engineer experience requirements

AI Engineer requirements for experience often vary depending on the specific position. If you’re adding a new Engineer to a large team, you may only expect a few months or a year of experience. Many AI Engineers gain experience through internships. If you only have one AI Engineer, you might prefer something with two or more years of experience. Another experience requirement you might include in your AI Engineer job description is working with a specific programming language or type of AI tool.

AI Engineer education and training requirements

When companies hire AI Engineers, they typically look for a minimum of a bachelor’s degree in a related field, such as computer science, mathematics, statistics or data science. Some companies require or prefer a master’s degree in a similar field. While not typically required, certifications in the AI field give candidates additional skills and knowledge, so you might include them in your job description as preferred qualifications. For instance, the Artificial Intelligence Board of America offers the Artificial Intelligence Engineer certification program and the United States Artificial Intelligence Institute offers a Certified Artificial Intelligence Scientist (CAIS) credential.

AI Engineer salary expectations

According to Indeed Salaries, the average salary for an AI Engineer is $161,804 per year. Everything from the industry and location to the candidate’s experience and qualifications can affect the specific salary an AI Engineer makes.

AI Engineer salary expectations

2025-10-0138000.00151049.00338000.00YEARLY
  • Common salary: 151049.00 YEARLY
  • Typical salaries range from 38000.00 - 338000.00 YEARLY
  • Find more information on Indeed Salaries

*Indeed data – 2025-10-01

Job description samples for similar positions

The AI Engineer job description might not be the best option for all companies. The following job description samples offer similar options:

AI Engineer job description FAQs

What is the difference between an AI Engineer and a Software Engineer?

An AI Engineer works specifically to develop solutions that operate without much human involvement. Once it’s developed, the software automates processes. A Software Engineer develops traditional software programs that users interact with regularly. They design the program to the specifications of the client and build in the functionality they need based on how they intend to use the program.

Do the duties of an AI Engineer vary in different industries?

Day-to-day routines often look different for an AI Engineer based on the industry. The AI solutions they create might focus on different functions based on the activities within that industry. Data used to develop the AI solutions and algorithms also varies depending on the field. However, the general duties, such as analyzing data and programming and testing AI software, are similar across industries.

What should you look for in an AI Engineer resume?

Review the various AI roles the candidate has held to get an idea of their skills and capabilities. It can help to choose job seekers with experience in the same industry, programming languages or AI solutions that you’re developing so they can get up to full production speed faster.

What traits make a good AI Engineer?

Natural curiosity and critical thinking benefit an AI Engineer in the developing field. It also helps to be innovative because AI is a newer technology. Successful candidates are comfortable with numbers, statistics and algorithms. They’re also able to communicate their ideas and thought processes clearly with the rest of the team. Strong leadership skills can come in handy when you need an AI Engineer to take charge of the project.

Job Description Best Practices
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Three individuals are sitting at a table with a laptop, a disposable coffee cup, notebooks, and a phone visible. Two are facing each other, while the third’s back is to the camera. The setting appears to be a bright room with large windows.

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Job Description Examples

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