Position Overview

This isn't just another internship. This is a chance to step into the heart of conversational AI with Sense, a company at the forefront of talent engagement technology. As a Backend Software Engineering Intern, you'll join the specialized Voice Engineering team, a group dedicated to building the intelligent, voice-driven experiences of the future. You won't be on the sidelines; you'll be in the engine room, working directly with Large Language Models (LLMs), shaping their behavior, and building the robust infrastructure that powers them. This role is a unique opportunity to gain hands-on experience in one of the fastest-growing fields in tech, contributing to products that are changing how companies and candidates connect. You will be part of a mission-driven company that is redefining the future of talent engagement, and your contributions will have a tangible impact on the products that thousands of people interact with daily. This is your chance to learn from the best, work with cutting-edge technology, and build a solid foundation for a successful career in software engineering and artificial intelligence. If you are a curious, driven, and creative problem-solver with a passion for building things that matter, this is the perfect role for you.

Key Responsibilities

• Become a master of language models by engineering and refining the prompts that guide our AI toward precise, deterministic, and helpful conversations.
• Go beyond theory and contribute directly to the core of our platform by designing and implementing new features and APIs for the Voice Engineering system.
• Dive into data by working with SQL databases, where you'll help optimize data models to support new and innovative features.
• Join a culture of collaboration, working alongside a dedicated engineering team to troubleshoot, debug, and continuously elevate the quality of our code.
• Take ownership of your projects, from initial concept to final deployment, and see your work come to life in a real-world application.
• Actively participate in team meetings, brainstorming sessions, and code reviews, contributing your unique perspective to our collective success.

Why You Might Like This Role

• You'll gain practical, real-world experience in the booming field of conversational AI and LLMs, setting you up with highly sought-after skills for your future career.
• This is a backend-focused role, meaning you'll build a strong foundation in software engineering principles, from API development to database management.
• You'll see your work have a direct impact on the product, contributing to a platform that's actively used by major companies.
• The internship offers a chance to explore your creativity in a technical context, especially in the art and science of prompt engineering.
• You will be working with a modern tech stack, including Python and MySQL, and will have the opportunity to learn from experienced engineers.
• This is an opportunity to join a company that is not just following trends but is actively shaping the future of talent engagement technology.

Professional Development

• You'll be paired with experienced engineers who will provide mentorship and guidance, helping you navigate technical challenges and grow as a developer.
• You will learn to write production-quality code in a professional environment, adhering to best practices in a fast-paced setting.
• Gain invaluable experience with the entire software development lifecycle, from initial design and implementation to debugging and optimization.
• This role serves as a powerful launchpad for a career in AI or backend engineering, providing you with the skills and experience that top employers are looking for.

Work Culture & Benefits

• Sense fosters a highly collaborative and innovative environment where new ideas are welcomed and teamwork is essential.
• You'll be part of a dynamic, fast-paced team that is passionate about building cutting-edge technology and solving complex problems.
• The company values a positive and supportive atmosphere, where learning and personal growth are encouraged for all team members.
• While this is an internship, you'll be treated as a key contributor to the team, with your work directly influencing the product's success.

Pro-Tips for Applying

• Highlight any personal or academic projects that involve Python, AI, or machine learning. A link to a GitHub repository would be a huge plus.
• In your cover letter or resume, specifically mention your interest and any experience you have with 'LLM prompts' – this shows you've read the description carefully.
• Be prepared to discuss your SQL knowledge. If you've used MySQL, make sure to point that out.
• Showcase your problem-solving skills. Think of an example of a complex problem you've solved, either in a project or academically, and be ready to talk about your process.
• Research Sense and our products. Come to the interview with thoughtful questions that demonstrate your genuine interest in what we do.

Frequently Asked Questions

Application Strategy

To make your application stand out, focus on telling a story that connects your academic background to a genuine passion for artificial intelligence. Tailor your resume to prominently feature your Python and SQL skills. Most importantly, use your cover letter to express your creativity and enthusiasm for prompt engineering and conversational AI. Explain why you're excited by the challenge of guiding language models to produce deterministic outcomes. Showing that you not only have the skills but also a deep interest in the core mission of the Voice Engineering team will set you apart from the rest. Be sure to proofread your application carefully and demonstrate the same attention to detail that you would bring to your work as an engineer.