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Entry Level Ai Software Engineer Jobs in Princeton, NJ

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 ...

Applied AI Software Engineer

New York, NY ยท On-site

$150K - $220K/yr

Have 2+ years of professional software engineering experience outperforming in high-quality environments * Have experience building and shipping LLM-powered applications or AI products in production

Applied AI Software Engineer

New York, NY ยท On-site

$150K - $220K/yr

Have 2+ years of professional software engineering experience outperforming in high-quality environments * Have experience building and shipping LLM-powered applications or AI products in production

Software Engineer, Systems ML

New York, NY

$189K - $224K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infras.

Software Engineer AI Software / Product Engineering | New York City | On-site About the Company We are representing a fast-growing AI software company building products for customer-facing teams ...

Software Engineer - Backend

New York, NY ยท On-site

$125K - $150K/yr

About Artian Artian AI is building agentic AI automation for financial services. Our platform ... About the Role Artian AI is looking for a Software Engineer - Backend to help build the platform ...

Software Engineer - AI/ML

New York, NY ยท On-site

$125K - $150K/yr

About the Role Artian AI is looking for a Software Engineer - AI/ML to help build the intelligence layer of our agentic AI platform for financial services. You will work on the systems that enable AI ...

AI/ML Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

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 ...

We are seeking an AI/ML Software Engineer for a contract position with a Global Financial Institution located in Pennington, NJ. This is 36 months W2 contract opportunity. Location: Pennigton, NJ ...

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will ...

Software Engineer, Applied AI

New York, NY ยท On-site

$175K - $290K/yr

Role Overview As a Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production. This role sits at the boundary of engineering and ...

As a Software Engineer, you are early in your career but already know how to build. You learn ... AI tooling to ramp faster, automate repetitive work, and contribute beyond what entry-level ...

AI Engineer - Remote

New York, NY 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 ...

Software Engineer

New York, NY ยท On-site

$100K - $250K/yr

Polymathic AI seeks to leverage these ideas to develop the next generation of AI-powered scientific ... The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed ...

Software Engineer

New York, NY ยท On-site

$175K - $290K/yr

Why Auctor Auctor is building the AI layer for professional services and software implementation. Think of us as the brain behind the best solution engineers, forward-deployed engineers, and ...

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Showing results 1-20

Entry Level Ai Software Engineer information

See Princeton, NJ salary details

$25.2K

$109.9K

$198.1K

How much do entry level ai software engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level ai software engineer in Princeton, NJ is $109,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $125,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Entry Level Ai Software Engineer jobs in Princeton, NJ look for?

The top searched job categories for Entry Level Ai Software Engineer jobs in Princeton, NJ are:

Infographic showing various Entry Level Ai Software Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,924 per year, or $52.8 per hour.

AI Software Engineer - Remote

YO AI Labs

New York, NY โ€ข Remote

$80 - $120/hr

Full-time

Posted 6 days ago


Job description

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 reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.