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Entry Level Ai Software Engineer Jobs in Pennsylvania

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... As a Software Engineer at Air, you show a clear passion for quality and love to solve client ...

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... As a Software Engineer at Air, you show a clear passion for quality and love to solve client ...

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... As a Software Engineer at Air, you show a clear passion for quality and love to solve client ...

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Software Engineer

Phoenixville, PA ยท On-site

$115K - $187K/yr

Proficiency in AI prompting as applied to software engineering practice Compensation & Benefits * Competitive salary: $115,000 - $187,000 * Health & disability insurance * 401(k) with 4% company ...

Urgent

AI Trainer - Remote

Philadelphia, PA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

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Software Engineer

Phoenixville, PA ยท On-site

$115K - $187K/yr

Proficiency in AI prompting as applied to software engineering practice Compensation & Benefits * Competitive salary: $115,000 - $187,000 * Health & disability insurance * 401(k) with 4% company ...

Urgent

Associate Software Engineer

Dresher, PA ยท On-site

$65 - $80/hr

We are building teams that are empowered with AI capabilities and innovative tools to solve ... programming or scripting languages * Experience in using Generative AI tools for software ...

Showing results 21-40

Entry Level Ai Software Engineer information

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in Pennsylvania?

The most popular types of Ai Software Engineer jobs in Pennsylvania are:

What are popular job titles related to Entry Level Ai Software Engineer jobs in Pennsylvania?

For Entry Level Ai Software Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Software Engineer jobs in Pennsylvania look for?

The top searched job categories for Entry Level Ai Software Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Entry Level Ai Software Engineer jobs?

Cities in Pennsylvania with the most Entry Level Ai Software Engineer job openings:

Infographic showing various Entry Level Ai Software Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer

Expert Technology Services

Blue Bell, PA โ€ข On-site

Contractor

Re-posted 9 days ago


Job description

Job Summary (List Format):
- Lead migration of an end-of-life third-party application to an internally developed solution using a modern tech stack.
- Deliver production-ready, full-stack web applications with a strong emphasis on front-end (React).
- Collaborate closely with stakeholders and QA/SDET to drive project clarity and successful outcomes, even with evolving requirements.
- Develop responsive enterprise web applications utilizing React.
- Build and maintain backend services using Node.js and/or Java; show flexibility to work across both.
- Integrate or develop Python web services or demonstrate the ability to quickly learn.
- Utilize SQL and relational database concepts for application development (deep SQL Server expertise not required).
- Design and maintain business rules using Drools (DRL) and decision tables.
- Work with rule engines, decisioning systems, or BRMS-like patterns for executing business rules against datasets.
- Develop data processing applications using Hadoop ecosystem technologies (Hive, HBase, Spark, Kafka, Impala).
- Apply DevOps fundamentals, including service accounts, scheduled/batch job management, and end-to-end data flow.
- Demonstrate AI fluency by leveraging AI tools for engineering tasks, understanding their capabilities, limitations, and safe usage.
- Use AI coding assistants (e.g., GitHub Copilot, Claude) to increase development productivity while ensuring code quality.
- Communicate effectively to clarify requirements and resolve ambiguities.
- Adhere to Git, Agile methodologies, and CI/CD practices for efficient and collaborative development.
- No background check or drug screening required.