Software Engineering Intern

Summary

Join Ada, an AI customer service company, as an Undergraduate Software Engineering Intern/Co-op! This 4-month (May 7 to August 29, 2025) program offers 2nd, 3rd, or 4th-year undergraduate students a chance to apply their skills in AI. You'll work on impactful projects, gain practical experience, and contribute to innovative AI solutions. The role requires prior co-op/internship experience, proficiency in programming languages (Python, Java, or C++), and a solid understanding of data structures and algorithms. Ada offers a flexible work schedule, a remote-first environment, and development opportunities. This is a chance to learn from experienced professionals and make a real difference in the field of AI.

Requirements

• Be currently enrolled as a 2nd or 3rd-year undergraduate student pursuing a degree in Computer Science, Engineering, or a related field
• Have previous co-op or internship experience
• Possess proficiency in programming languages such as Python, Java, or C++
• Have a basic understanding of data structures, algorithms, and software design principles
• Demonstrate eagerness to learn and apply new technologies, particularly in the field of artificial intelligence
• Possess strong problem-solving skills and attention to detail
• Have excellent communication, collaboration, and interpersonal skills
• Be able 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

Have previous experience with AI or machine learning concepts

Benefits

• Flexible work schedule
• Remote-first, In-person friendly work environment
• Development opportunities
• Unlimited Vacation
• Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance
• Wellness Account
• Employee & Family Assistance Plan
• Flexible Work Schedule
• Remote-First, In-Person Friendly
• Learning & Development Budget
• Work from Home Budget
• Access to Cutting-Edge AI Tools
• Hands-On with LLMs
• A Thriving Industry