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Ai Application Developer Jobs in Pennsylvania (NOW HIRING)

Gehc

AI Engineer

North East, PA

... AI application development. * Stay current with emerging AI technologies, open-source frameworks ... Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science ...

Hudson Manpower

Sr Full stack Java Developer

Allentown, PA · On-site

$60 - $65/hr

... AI, LangChain/LangGraph concepts, and RESTful APIs , ensuring secure and maintainable application ... Implemented prompt engineering, prompt templates, response validation, context management, and AI ...

The Pennsylvania State University

Research and integrate advancements in front-end technologies, AI application development practices, and responsible engineering best practices. Required Qualifications: * Proven experience as an ...

Skild AI

Robotics Application Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Position Overview We're looking for a hands-on, highly technical Robotics Application Engineer to ...

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Ai Application Developer information

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$17

$52

$85

How much do ai application developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai application developer in Pennsylvania is $52.77, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $60.72 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in Pennsylvania?

For Ai Application Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Ai Application Developer jobs in Pennsylvania look for?

The top searched job categories for Ai Application Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Ai Application Developer jobs?

Cities in Pennsylvania with the most Ai Application Developer job openings:

Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $109,753 per year, or $52.8 per hour.

Technology - Application Developer III

Scalence L.L.C.

Pittsburgh, PA • On-site

$93K - $128K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking Senior Full Stack Developers to support a government-focused project in a highly scalable and secure environment. The role will primarily involve backend development while also supporting frontend work, with a focus on AI-enabled development tools and secure coding practices.
Responsibilities:
• Design and develop scalable full-stack applications using modern frameworks and tools
• Focus primarily on backend development while supporting Angular-based frontend components
• Work in AI-enabled development environments using tools such as Windsurf, Cursor, or similar AI coding assistants
• Implement secure coding practices and ensure auditability due to highly confidential government data
• Build and maintain REST APIs for high-volume systems
• Develop and execute test cases (BDD preferred; AI-assisted testing acceptable)
• Contribute to technical design and lead development initiatives where required
• Develop solutions in Azure cloud environments, including AKS-managed Kubernetes infrastructure
• Implement job scheduling and workflow automation using tools such as Apache Airflow or Spring Batch
• Collaborate with teams to ensure high observability and monitoring capabilities across applications
• Ensure compliance with FedRAMP Moderate and High security standards
Qualifications:
Required:
• Strong experience in Full Stack Development
• Expertise in Java 17+
• Experience with Spring Boot 3.5+
• Strong frontend development using Angular 23+
• Experience building RESTful APIs
• Experience with Azure Cloud environments
• Hands-on experience with Kubernetes / AKS
• Experience with AI-enabled coding tools or workflows
• Strong secure coding and security compliance mindset
• Experience building highly scalable, high-volume systems
• Experience with test automation and writing test cases
• Strong systems thinking and architecture-aware development approach
• Experience with Windsurf or Cursor AI coding tools
• Experience with Apache Airflow or Spring Batch
• Experience building highly observable systems
• Experience working in FedRAMP-compliant environments
• Prior experience working on government or regulated projects
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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