Entry Level Software Engineer AI Jobs
New grad software engineer ai jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or project work with AI frameworks can matter more than a long resume. Most openings are a mix of on-site, remote, and hybrid roles across Healthcare & Medical Services, Technology & Software, and Artificial Intelligence, with employers like CVS Health, Google, and TikTok USDS JV hiring at this level now.
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Showing 5 of 148+ Entry Level Software Engineer AI jobs
Responsibilities
- Participate in the design and the implementation of AI solutions for Microsoft’s products and services.
- Test and review all new and modified code and data pipelines.
- Build out new API infrastructure, endpoints, and data pipelines, as necessary.
- Build reporting and monitoring mechanisms into our solutions.
- Analyze technology industry and market trends and choose their potential impact on the solutions.
- Develop patterns, standards, and guidelines necessary to uphold our design principles and maintain integrity of the product architecture.
- Participate in key project design reviews.
- Collaborate with partner teams for code integration and with product managers to translate functional requirements into working solutions.
- Patent and publish relevant IP and scientific research.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Candidates must be available to start full-time in July 2026.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Experience in database systems and systems engineering.
- Experience in designing and developing high-scale distributed systems is a plus.
- Knowledge of cloud environments, machine learning, data visualization, and AI is a plus.
- Energized by creating AI solutions that can positively impact the work and lives of millions of people and excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $85,400 - $168,100 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $111,100 - $183,700 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Responsibilities
- Participate in the design and the implementation of AI solutions for Microsoft’s products and services.
- Test and review all new and modified code and data pipelines.
- Build out new API infrastructure, endpoints, and data pipelines, as necessary.
- Build reporting and monitoring mechanisms into our solutions.
- Analyze technology industry and market trends and choose their potential impact on the solutions.
- Develop patterns, standards, and guidelines necessary to uphold our design principles and maintain integrity of the product architecture.
- Participate in key project design reviews.
- Collaborate with partner teams for code integration and with product managers to translate functional requirements into working solutions.
- Patent and publish relevant IP and scientific research.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Candidates must be available to start full-time in July 2026.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Experience in database systems and systems engineering.
- Experience in designing and developing high-scale distributed systems is a plus.
- Knowledge of cloud environments, machine learning, data visualization, and AI is a plus.
- Energized by creating AI solutions that can positively impact the work and lives of millions of people and excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $85,400 - $168,100 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $111,100 - $183,700 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
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Find JobsEntry Level Software Engineer AI Job Market
Who's Hiring
- CVS Health49
- Google18
- TikTok USDS JV5
- Qualcomm4
- Amazon4
Top Industries Hiring
- Healthcare & Medical Services50
- Technology & Software44
- Artificial Intelligence22
- Electronics & Hardware12
- Consulting & Professional Services6
Entry Level Software Engineer AI Jobs: Frequently Asked Questions
How do I get an entry level software engineer ai job?
Employers hiring at the entry level look for hands-on familiarity with machine learning frameworks such as PyTorch or TensorFlow, comfort working with large language models or vector databases, and at least one project that demonstrates real output. A GitHub portfolio showing end-to-end AI work, even from coursework or a personal project, carries significant weight. Internship experience or contributions to open-source AI tools can give a candidate a clear edge over applicants who rely on coursework alone.
Which companies hire entry level software engineer ais?
Companies hiring entry level software engineer ais right now include CVS Health, Google, and TikTok USDS JV, based on current listings on Migrate Mate as of June 2026. Hiring covers large technology firms building internal AI products, startups scaling AI-native features, and enterprise companies integrating AI into existing software, so candidates at this level have options across a wide range of company sizes and stages.
Are there remote entry level software engineer ai jobs?
Yes, though availability varies by employer and role type. About 65% of entry level software engineer ai openings are remote or hybrid as of June 2026, making this a field where candidates outside major tech hubs can still compete for strong opportunities. Roles requiring access to proprietary hardware or on-site model infrastructure tend to be fully on-site, while software-focused AI positions are more likely to offer flexibility.
Are these new grad software engineer ai jobs?
Yes, these listings include new grad, recent graduate, and junior software engineer ai roles. A posting is typically new-grad friendly when it welcomes zero to two years of experience, accepts internships or academic projects in place of professional history, and does not require prior production deployment experience. Listings that mention degree completion within the last two years or explicitly invite portfolio submissions are strong signals that a new grad candidate is a competitive applicant.
Which industries hire the most entry level software engineer ais?
Entry Level software engineer ai roles concentrate in Healthcare & Medical Services, Technology & Software, and Artificial Intelligence, based on current listings on Migrate Mate as of June 2026. These sectors drive junior hiring because they are actively building or expanding AI-powered products and need engineers who can work alongside senior staff on model integration, data pipelines, and evaluation tooling from the start of their careers.