Forward Deployed Engineering Intern – AI Agent

🕒 February 3

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Cresta

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Cresta is an enterprise-grade AI platform that focuses on enhancing contact center operations. By employing a unified platform for human and virtual agents, Cresta aims to improve customer experience, increase revenue, and reduce costs. The platform integrates AI to assist with sales, customer care, retention, and collections, providing real-time guidance and insights. Cresta's AI capabilities include conversation intelligence, agent assistance, quality management, and virtual agents. With a focus on automation and augmentation, Cresta seeks to transform workflows and customer interactions across various industries, including telecommunications, finance, and retail.

📋 Description

• Assist in developing and configuring AI agents using Cresta’s platform tools. • Help build and test integrations between AI agents and external systems (like APIs or data sources). • Support performance tuning and troubleshooting of AI agent prototypes. • Work with customers and internal engineering teams to understand requirements and iterate on solutions. • Participate in team demos, feedback sessions, and learning opportunities. • This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.

🎯 Requirements

• Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field. • Experience writing code in Python (or another general-purpose language). • Basic understanding of programming fundamentals and software development best practices. • Strong interest in artificial intelligence, machine learning, or software engineering. • Excellent communication skills and willingness to collaborate with teammates and customers. • Nice-to-Haves: Experience with APIs, web development, or cloud platforms. • Prior coursework or projects involving AI/ML concepts or LLMs. • Exposure to prompt engineering or similar experimentation.

🏖️ Benefits

• Compensation includes a base salary, equity, and a variety of benefits

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