Software Engineering Intern

Summary

Join Ada, an AI customer service company, as an Undergraduate Software Engineering Intern/Co-op. This 4-month internship (September 3 to December 19, 2025) offers 2nd, 3rd, or 4th-year undergraduate students a chance to apply their skills and learn from AI professionals. You will work on impactful projects, develop practical skills, and contribute to innovative AI solutions. The ideal candidate is a currently enrolled undergraduate student with prior co-op or internship experience, proficiency in programming languages (Python, Java, or C++), and a basic understanding of data structures and algorithms. Strong problem-solving skills, attention to detail, and excellent communication are essential. Previous AI/machine learning experience is a plus. Ada offers a flexible work schedule and a remote-first environment.

Requirements

• Currently enrolled as a 2nd or 3rd-year undergraduate student pursuing a degree in Computer Science, Engineering, or a related field
• Must have previous co-op or internship experience
• Proficiency in programming languages such as Python, Java, or C++
• Basic understanding of data structures, algorithms, and software design principles
• Eagerness to learn and apply new technologies, particularly in the field of artificial intelligence
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills
• Ability to work effectively both independently and as part of a team

Responsibilities

• Deliver high-quality production-ready code with direction from the team
• Execute on defined tasks and contribute to solving problems with defined solutions in the AI space
• Participate in the core processes of the team (planning, on-call rotations, bug triage, metrics review, etc)
• Participate in code reviews and raise questions to help me learn the codebases and technologies relevant to my work
• Contribute to a positive sense of community on my team (e.g., engage in team activities, offsites etc)
• Proactively share relevant information on my project including difficult task-level trade-offs that impact the product to my manager and team (including product/business partners)
• Actively contribute to virtual program learning sessions such as: time management and career development etc

Preferred Qualifications

Previous experience with AI or machine learning concepts is a plus but not required

Benefits

• Unlimited Vacation: Recharge when you need to
• Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance
• Wellness Account: Empowering you to invest in your overall well-being and lifestyle
• Employee & Family Assistance Plan: Resources to support you and your loved ones
• Flexible Work Schedule: Balance your work and personal life
• Remote-First, In-Person Friendly: Options to work from home or at our local hub
• Learning & Development Budget: Invest in your long-term growth goals and skills
• Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience
• Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry
• Hands-On with LLMs: Enhance your expertise in leveraging large language models
• A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology