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.

Join us on this thrilling journey to revolutionize the workforce with AI.

About the role:

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact center industry, focusing on improving agent productivity by providing access to the right knowledge at the right time.

Our current projects:

• Generative Knowledge Assist (GenKA): Real-time, context-aware suggestions for contact center agents, integrating with multiple knowledge bases to streamline information retrieval, reduce agent effort, and ensure accurate responses.

• Knowledge Search (KS): A search experience tailored for contact center agents. Built on the GenKA stack, it aims to evolve into an enterprise search solution beyond contact centers.

• Retrieval-Augmented Generation (RAG): A critical project underpinning GenKA, KS, and VA, enabling efficient retrieval of relevant knowledge content and generating read-to-use agent responses grounded in knowledge.

Responsibilities:

• Design, develop, and deploy Cresta's KA solutions and proprietary models.

• Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios.

• Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta's customer solutions.

• Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.

• Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta's KA.

• Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Qualifications We Value:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow).

• Strong understanding of machine learning fundamentals and generative modeling.

• Ability to design and analyze experiments involving large-scale datasets.

Perks & Benefits:

• $45-$70 per hour subject to taxes

• Lunch can be expensed (up to $25) while working in the office.

• PTO: 4 days

Job Data by YubHub.

As a full-stack software engineer, you will have the option to work on different products at Cresta, including Cresta Opera, the no-code AI command center for contact centers, and Cresta Platform, the core engineering platform that enables all Cresta features.

Responsibilities:

• Collaborate with senior engineers on the team to write and push high-quality code efficiently for both the frontend and backend.
• Build exciting products in which ML/AI is applied at the core as a major differentiator for the product.
• Work closely with ML engineers on such features.
• Identify and leverage opportunities to improve general engineering productivity.
• Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation.

Qualifications We Value:

• Experience coding in modern programming languages like Python, Go, Java for backend and JavaScript, TypeScript for frontend.
• Understanding of the modern front-end ecosystem and experience applying frameworks/tools (React.js, Webpack, and Node.js) and patterns to complex, production web applications.
• Comfortable defining and building robust APIs with a strong understanding for different protocols like REST, RPC frameworks, Websockets etc.
• Experience with database schema design and an understanding of query performance that translates to performant, scalable, and reactive products.

Perks & Benefits:

• $30-$50 per hour subject to taxes.
• Lunch can be expensed (up to $25) while working in the office.
• PT0: 4 days.

Job Data by YubHub.

Responsibilities:

• Contribute to expanding Stripe's OAuth offering
• Develop and improve SSO/SCIM products to increase adoption for enterprise users
• Collaborate with other teams within Stripe to deliver a next-generation authentication platform for Stripe

Requirements:

• 2-5 years of relevant experience
• Experience with backend infrastructure
• Experience building systems that scale
• Familiarity with AWS
• Experience with Java/Ruby

Preferred qualifications include prior experience with IAM and comfort with ambiguity.

This is an opportunity to work on cutting-edge security and IAM infrastructure, collaborating with various teams across Stripe to invent and implement innovative solutions.

Job Data by YubHub.