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 Technology & Software, Education, and Science & Research, with employers like TikTok, Google, and Bitdeer (NASDAQ: BTDR) hiring at this level now.
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Showing 4 of 39+ Entry Level Software Engineer AI jobs
Job Title: AI-Native Software Engineer, Cloud (AWS)
Duration: 6 months
Location: Hybrid on-site - Can sit in either Research Triangle Part (RTP), North Carolina OR San Jose, California
Role Overview
The AI-Native Software Engineer, Cloud (AWS) will join a security engineering team responsible for building tools that discover, mitigate, and report on security risk across a large technology organization's applications, platforms, and services. This role calls for a full-stack engineer with deep AWS expertise who can architect scalable, always-on platforms while modernizing legacy systems, all while working in an AI-native, spec-driven development workflow. The engineer will partner closely with leadership and fellow engineers to deliver industry-leading security tooling for enterprise customers.
Key Responsibilities
- Architect and build always-on API platforms that scale to enterprise demand
- Modernize legacy applications and monolithic architectures to meet modern development and security needs
- Prototype and evolve security capabilities to keep pace with AI-driven software development
- Partner with engineering leadership to define and execute agile development plans
- Develop, test, deploy, and support production-grade security tooling and services
- Evaluate designs critically, including AI-generated code, to catch security gaps and architectural weaknesses before they reach production
Required Qualifications
- BS or MS in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrated experience
- Demonstrated fluency in applying AI technologies across the software development lifecycle, including breaking down user stories, AI-assisted coding and testing, automated defect resolution, and deployment of tested software
- Deep, hands-on experience building and deploying production systems on AWS (e.g., EC2, Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway), with a track record of customer-facing applications in production
- Server-side development experience with Python, Java, NodeJS, or similar technologies
- Client-side web development experience using React, Backbone, native JavaScript, or comparable technologies
- Expertise building secure, large-scale systems using fault-tolerant technologies such as Elasticsearch, CockroachDB, Oracle, MongoDB, and Kafka
Preferred Qualifications
- AWS certification (e.g., Solutions Architect, Developer)
- CISSP, CCSP, or similar security certification
Tools & Technologies
- AWS (EC2, Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway)
- Python, Java, NodeJS
- React, Backbone, JavaScript
- Elasticsearch, CockroachDB, Oracle, MongoDB, Kafka
Job Title: AI-Native Software Engineer, Cloud (AWS)
Duration: 6 months
Location: Hybrid on-site - Can sit in either Research Triangle Part (RTP), North Carolina OR San Jose, California
Role Overview
The AI-Native Software Engineer, Cloud (AWS) will join a security engineering team responsible for building tools that discover, mitigate, and report on security risk across a large technology organization's applications, platforms, and services. This role calls for a full-stack engineer with deep AWS expertise who can architect scalable, always-on platforms while modernizing legacy systems, all while working in an AI-native, spec-driven development workflow. The engineer will partner closely with leadership and fellow engineers to deliver industry-leading security tooling for enterprise customers.
Key Responsibilities
- Architect and build always-on API platforms that scale to enterprise demand
- Modernize legacy applications and monolithic architectures to meet modern development and security needs
- Prototype and evolve security capabilities to keep pace with AI-driven software development
- Partner with engineering leadership to define and execute agile development plans
- Develop, test, deploy, and support production-grade security tooling and services
- Evaluate designs critically, including AI-generated code, to catch security gaps and architectural weaknesses before they reach production
Required Qualifications
- BS or MS in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrated experience
- Demonstrated fluency in applying AI technologies across the software development lifecycle, including breaking down user stories, AI-assisted coding and testing, automated defect resolution, and deployment of tested software
- Deep, hands-on experience building and deploying production systems on AWS (e.g., EC2, Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway), with a track record of customer-facing applications in production
- Server-side development experience with Python, Java, NodeJS, or similar technologies
- Client-side web development experience using React, Backbone, native JavaScript, or comparable technologies
- Expertise building secure, large-scale systems using fault-tolerant technologies such as Elasticsearch, CockroachDB, Oracle, MongoDB, and Kafka
Preferred Qualifications
- AWS certification (e.g., Solutions Architect, Developer)
- CISSP, CCSP, or similar security certification
Tools & Technologies
- AWS (EC2, Lambda, ECS/EKS, S3, RDS/DynamoDB, API Gateway)
- Python, Java, NodeJS
- React, Backbone, JavaScript
- Elasticsearch, CockroachDB, Oracle, MongoDB, Kafka
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Who's Hiring
Top Industries Hiring
- Technology & Software19
- Education4
- Science & Research4
- Consulting & Professional Services4
- Artificial Intelligence3
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 TikTok, Google, and Bitdeer (NASDAQ: BTDR), based on current listings on Migrate Mate as of September 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 31% of entry level software engineer ai openings are remote or hybrid as of September 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 Technology & Software, Education, and Science & Research, based on current listings on Migrate Mate as of September 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.