Software Engineer Intern

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.  Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi , an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. Cresta is building the AI platform for the modern contact center —one of the largest and most critical systems in the global economy. We combine human agents and AI agents to handle customer conversations at scale, helping enterprises improve customer experience, increase revenue, and reduce cost in real time. This isn’t experimental AI. Our systems run in live production environments , shaping millions of customer interactions every day. We’re looking for builders who want to take ownership and move fast. About the Role As a Software Engineer Intern , you’ll build systems that power real-time, AI-driven customer interactions in contact centers . You’ll work on production infrastructure where latency, reliability, and measurable business outcomes matter. You may work across key areas such as: AI Agents & Automation – systems that handle and assist high-volume customer conversations Real-Time Agent Assist – delivering live guidance and insights during interactions Conversation Intelligence – extracting insights from millions of conversations AI Evaluation & Reliability – improving quality, consistency, and observability of LLM systems Platform & Infrastructure – enabling scalable, low-latency AI experiences Cresta’s platform powers the full contact center workflow —from real-time assistance and automation to post-call analytics and continuous optimization. You’ll operate in a high-ownership, fast-moving environment where interns are expected to contribute meaningfully, not just observe. What You’ll Do Design and build systems that support real-time AI-powered customer interactions Work on features combining LLMs, data systems, and user-facing applications Collaborate with engineers, product, and ML teams to ship production-ready solutions Build systems for evaluation, monitoring, and continuous improvement of AI behavior Optimize for low latency, high throughput, and reliability at scale Take ownership of problems end-to-end—from identifying gaps to shipping solutions What We’re Looking For Experience with one or more programming languages (e.g., Python, Go, Java, JavaScript, TypeScript ) Interest in building user-facing products, backend systems, or real-time/data-intensive applications Familiarity with modern web development (frontend and/or backend), APIs, or system design fundamentals Understanding of building reliable, maintainable systems —this could include UI/UX quality, API design, or performance considerations Curiosity about LLMs, AI agents, or production AI systems (no prior ML experience required) Experience using AI-powered developer tools (e.g., Cursor, Claude Code) to accelerate development workflows Strong proficiency in agentic coding workflows—effectively collaborating with AI tools to design, implement, and iterate—is a strong plus A driver mindset—you proactively identify problems, take initiative, and push work forward rather than waiting for direction Strong problem-solving ability and a bias toward action What You’ll Learn How to build and ship production-grade AI syste