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Full Time Mid Level Ai Engineer Jobs (NOW HIRING)

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

... mid-level engineers, raising the overall technical bar across AI engineering • Contribute to internal standards, documentation, and knowledge sharing. What You'll Bring • Bachelor's degree in ...

We are currently seeking a candidate to fill a full-time Mid-Level Design Engineer position in Raleigh, North Carolina . The successful candidate will possess a can-do attitude, have a passion for ...

We are currently seeking a candidate to fill a full-time Mid-Level Design Engineer position in Dallas, Texas . The successful candidate will possess a can-do attitude, have a passion for and take ...

We are currently seeking a candidate to fill a full-time Mid-Level Design Engineer position in Dayton, Ohio . The successful candidate will possess a can-do attitude, have a passion for and take ...

We are currently seeking a candidate to fill a full-time Mid-Level Design Engineer position in Cleveland, Ohio . The successful candidate will possess a can-do attitude, have a passion for and take ...

Secret The Software Developer is responsible for designing, developing, and maintaining software applications that support business and technical requirements. This role works closely with ...

Secret The Software Developer is responsible for designing, developing, and maintaining software applications that support business and technical requirements. This role works closely with ...

Secret The Software Developer is responsible for designing, developing, and maintaining software applications that support business and technical requirements. This role works closely with ...

Secret The Software Developer is responsible for designing, developing, and maintaining software applications that support business and technical requirements. This role works closely with ...

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

Data Solutions & Analytics The Position: We're hiring a mid-level AI Engineer to help build and scale the AI systems behind Violet and our broader analytics platform called ThirdBase. You'll work ...

Mid-Level Developer

Overland Park, KS · On-site

$80K - $85K/yr

Permanent, Full-Time Reports to: Development Manager Location: Remote-USA Role Summary The Mid ... Has measurably increased engineering throughput through AI adoption, not just experimented with it ...

Showing results 21-40

Full Time Mid Level Ai Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do full time mid level ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time mid level ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a full time mid level AI engineer?

A Full Time Mid Level AI Engineer is a professional who works on developing, implementing, and optimizing artificial intelligence models and systems in a full-time capacity. At the mid-level, they typically have a few years of experience and are proficient in programming languages like Python, as well as machine learning frameworks such as TensorFlow or PyTorch. Their responsibilities often include building and training models, analyzing data, collaborating with other engineers or data scientists, and deploying AI solutions to solve real-world problems. They also contribute to code reviews, documentation, and may mentor junior team members.

What are the key skills and qualifications needed to thrive as a full time mid level AI engineer?

To thrive as a Full Time Mid Level AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with data modeling. Proficiency in programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms are typically required. Problem-solving abilities, strong communication, and teamwork skills help you effectively collaborate and translate complex technical ideas. These skills ensure you can develop, deploy, and maintain AI solutions that drive business value and innovation.

What are some common challenges faced by mid level AI engineers in full time roles, and how can they be managed?

Mid-level AI engineers often encounter challenges such as balancing project deadlines with the complexity of developing and deploying machine learning models, integrating AI solutions with existing systems, and managing ambiguous problem statements. Navigating these challenges typically involves effective communication with cross-functional teams, time management, and continuous learning to stay updated on the latest AI frameworks and best practices. Proactively seeking mentorship and participating in code reviews can also help refine technical skills and facilitate smoother project execution.

What is the difference between Full Time Mid Level Ai Engineer vs Data Scientist?

AspectFull Time Mid Level Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping AI models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, creating reports for business insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, tech industries

Full Time Mid Level Ai Engineers focus on developing and deploying AI models within technical teams, while Data Scientists analyze data to generate insights. Both roles require similar educational backgrounds and often collaborate, but their core responsibilities differ in application and focus.

Are full time mid level AI engineers in high demand?

Full-time mid-level AI engineers are in high demand due to the rapid growth of artificial intelligence applications across industries. Employers seek professionals with skills in machine learning, deep learning, and programming languages like Python, often requiring experience with frameworks such as TensorFlow or PyTorch. This demand is expected to continue as AI adoption expands in sectors like healthcare, finance, and technology.

How much do full time mid level AI engineers make?

Full-time mid-level AI engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Salaries can increase with specialized skills in machine learning frameworks, programming languages, and data handling tools.
More about Full Time Mid Level Ai Engineer jobs

What states have the most Full Time Mid Level Ai Engineer jobs?

States with the most job openings for Full Time Mid Level Ai Engineer jobs include:

Infographic showing various Full Time Mid Level Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Full-time

Re-posted 27 days ago


Job description

R-2932641
Mid Level Developer
The Walt Disney Company
Irving, TX 75063 (Dallas Solution Center)
****/hour
1 year
Top 3 Skills
• Extensive experience supporting and/or developing Java backend tools or services as well as object oriented programming skills. Must have knowledge with Java, Ruby or Python, while also being prodicient in the operational support for Java applications
• Experience working within a cloud environment (AWS). In this role they will be automating the cloud and must have experience deploying infrastructure and applications in cloud environments (AWS).
• Must have experience with web application development platforms, tools and utilities including Java, JSP, PHP, JavaScript
This is a key role for Disney .
Mid Level and Junior Developer
The Watch Platform at ABC puts content in the hands of millions of users who want to watch full episodes, or watch the live streams anytime, anywhere. Users can enjoy their favorite shows from multiple TV networks, live events, sports, news and weather.
The DTSS-Systems Engineering-ABC group is responsible for the core engineering, systems architecture, and technical operations of the Watch platforms (WatchABC, WatchABCFamily, WatchDisneyChannel, WatchDisneyJunior, WatchDisneyXD), ABC.com, ABCFamily.com, and the Oscars. The team is responsible for the design, build and development of large scale, resilient platforms and systems that encompass the all of our products and services.
We collaborate closely with ABC development teams and Disney technical teams to provide these robust, distributed and performant solutions to achieve ABC and Disney business goals. Solutions can consist of Disney and ABC proprietary software and services, commercial software, services as well as open source software.
The Platform Engineering team is responsible for planning and engineering of our cloud systems architecture, application delivery, platform configuration management, systems automation, systems tool development and operationalizing the Watch infrastructure globally. These are large, complex application environments that are highly scalable, resilient, secure, reliable and high performing to support the millions of users we support on a daily basis.
The Sr. Tools Engineer works as part of this Platform team and is responsible for designing and developing the components and platform solutions that help enable our internal and cloud application environments to be a scalable, dynamic and reliable platforms for use by Systems Engineers, ABC Development teams and our Guests.
Primary responsibilities include evaluation, design, implementation and support for components or solutions developed internally, developed by the open source community, or developed by third parties which are designed to service Internet based applications or environments. This includes custom software implementation, data model design, network and systems design, performance and process improvement, systems automation and documentation.
This position is also responsible for planning and executing small-to-medium scale projects within the Platform Engineering team. Typical projects would include new business unit initiatives and updates to existing products and services that require planning, incredible attention to detail, and flawless execution.
The ideal candidate would be proficient in Python or Ruby or GoLang and is also proficient in the operational support for Java applications. An ideal candidate also has a strong working knowledge of cloud and IT infrastructure. Experience writing code to automate infrastructure tasks is not necessary but considered valuable. Expertise implementing and maintaining enterprise configuration management solutions such as Chef or Puppet are also desirable.
• 5-8 years of experience supporting and/or developing backend applications, tools or services
• Experience automating infrastructure and applications in Cloud environments
• Intermediate skills in Ruby, Perl, Python or other programming languages
• Proficiency in Java or other Object Oriented languages like GoLang
• Experience with software development lifecycle principals
• Experience integrating REST-based APIs
• Experience with Continuous Deployment mechanisms and integration tools
• Experience working with VCS like GitLab, GitHub, etc
• Experience in load profiling and test automation
• Experience in configuring, deploying, and supporting web server platforms including but not limited to Tomcat, Apache, NodeJS
• Detailed knowledge of core Internet protocols (HTTP/HTTPS, DNS)
• Detailed knowledge of networking protocols (TCP/IP, SSH), IP communication, packet structure, and troubleshooting.
• Exposure to configuration management frameworks such as Ansible, Chef
• Exposure to AWS CloudFormation or Hashicorp Terraform
• Exposure to Container platforms
• Working knowledge Agile/Lean methodologies
• 8 years or more of experience supporting and/or developing internet-based applications, products or services
• Experience developing Cloud-based solutions and architecture
• Experience with Cloud Formation and/or Terraform for cloud provisioning
• Advanced Python, GoLang, Ruby or other scripting language skills
• Intermediate to advanced Object Oriented Programming skills
• Experience developing REST APIs as well as implementation is desirable
• Experience working with Linux Containers
• Experience with web application development platforms, tools and utilities including Java, NodeJS, JavaScript, and AngularJS
• Experience with NoSQL data stores like Mongo, Cassandra
• Exposure to configuration and management
• Expertise with VCS like GitLab, GitHub, etc
• Expertise in Continuous Deployment mechanisms and integration tools
• Experience working in a DevOps capacity, with Agile methodologies
• Experience in monitoring platforms such as Sensu, Zenoss, Nagios
• Experience managing site content and configuration via CDN providers