About the role
Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations. Fresh vision. Real impact. Come build it with us. We are looking for a Full Stack AI Engineer to build intelligent, scalable, and user-centric product experiences across our B2B SaaS platform. In this role, you will work across the stack frontend, backend, and AI/ML-powered services to ship features that embed intelligence directly into workflows. You will have a primary area of strength (frontend or backend) while being comfortable contributing across layers as needed. This role is ideal for engineers who enjoy turning data and models into real product outcomes, not just experiments. What You’ll Do Design, build, and maintain end-to-end product features across frontend, backend, and AI services Develop AI-powered capabilities such as recommendations, automation, summarization, classification, or decision support Integrate LLMs and ML models into production systems with attention to performance, reliability, and cost Build and consume well-designed APIs and services that support scalable AI workflows Collaborate closely with Product Managers, Designers, and Data/ML partners to translate business problems into technical solutions Ensure high code quality through testing, reviews, and adherence to engineering best practices Debug and resolve complex issues across the stack, including data, model behavior, and user experience Contribute to improving engineering standards, tooling, and developer experience within