AI Engineering Associate Software Engineer Internships (Summer 2027, Bachelors)

ServiceNow; Santa Clara (CA); On-site; USD 39,000 - 52,000; Full time

Benefits offered by this job

Generous family leave

Matched donations

Annual learning stipends

Flexible PTO

Competitive retirement plan

Paid volunteer time

Job summary

ServiceNow is seeking a full-stack Associate Software Development Engineer Intern in Santa Clara, CA. You will design, build, and maintain software across the stack, collaborating with product managers, designers, and engineers to deliver scalable solutions.

You will write well-tested code and participate in reviews, while leveraging AI coding assistants and focusing on security and performance. This 12-week internship is in 2027 and offers valuable real-world experience.

Qualifications

• Pursuing Bachelor’s degree in Computer Science or related field with graduation date no earlier than May 2028.
• Familiar with software engineering fundamentals, clean and secure code practices.
• Experience or coursework in front-end and back-end technologies.
• Exposure to AI coding assistants and APIs for building features.

Responsibilities

• Design, build, and maintain software across the application stack from UI to APIs and data stores.
• Write well-tested, maintainable code and participate in code reviews.
• Collaborate with product managers, designers, and engineers to deliver resilient, scalable solutions.

Skills

Full-stack development

AI fluency

Frontend frameworks

Backend languages

Cloud platforms

Technical communication

Education

Bachelor's degree in Computer Science or related field

Tools

Copilot

Cursor

Codeium

LLM APIs

Job description

• As a full stack Associate Software Development Engineer Intern, you’ll partner with senior level engineers to help design, build, and maintain software across the application stack from user-facing interfaces to APIs, data stores, and cloud infrastructure
• You’ll write well-tested, maintainable code, take part in code reviews, and use AI coding assistants to accelerate delivery while critically evaluating AI-generated output for correctness and security
• You’ll also collaborate with product managers, designers, and peer engineers is essential to create resilient, scalable solutions
• Build features end-to-end, with guidance from your team, from design through deployment—across front-end (React/Angular/Vue) and back-end (REST/GraphQL, microservices) solutions
• Contribute to system design discussions: learn how the team evaluates architectural trade-offs and help define data models, API contracts, and cloud-native and persistence approaches for your project
• Write comprehensive tests, follow coding standards, and review code—including AI-generated code—for security, performance, and maintainability
• Develop, maintain, and execute automated test suites to validate software functionality, catch defects early,
• Use and help maintain CI/CD pipelines and infrastructure- as-code, learn to monitor systems in production, and support incident response, including for AI-integrated components
• Partner with product managers, designers, and platform teams to scope and deliver features, document your work clearly, and explain trade-offs to technical and non-technical audiences

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time

Full-stack development skills: Exposure through coursework, personal projects, internships, or hackathons to front-end frameworks (React/Angular/Vue), back-end languages (Node.js, Python, Java, Go), databases, REST/GraphQL APIs, and cloud platforms (AWS/Azure/GCP), plus comfort adopting emerging AI/ML toolsExperience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industryCurrently pursuing a Bachelor’s degree in Computer Science, or related field; with a graduation date no earlier than May 2028Must be available to work full-time hours, for a 12-week period, either May – August or June – September in 2027We know great candidates may not meet every preferred qualification. If you’re excited about this opportunity and meet the minimum qualifications, we encourage you to applyFoundational systems thinking: Exposure to software architecture concepts, API design, databases, or distributed systems through coursework or projectsSoftware engineering fundamentals: Familiar with writing clean, secure, well-tested code, along with understanding of how to treat code review as a quality practiceAI fluency: Exposure to AI coding assistants (Copilot, Cursor, Codeium, etc) and LLM APIs (OpenAI, Anthropic, open-weight models) to build features, and understanding the need for sound judgment when reviewing AI-generated code for correctness and securityTechnical communication: Ability to break down requirements into actionable tasks and communicate effectively with technical and non-technical stakeholders