Staff Backend Engineer, Inworld AI

• A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
• 5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
• Strong product sense and an ability to think critically about user experience and business impact
• Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
• Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
• Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
• A solid foundation in data structures, algorithms, and system design

Desirable

• Our intelligent runtime must seamlessly connect to foundational models to power real-time, interactive experiences. For this to be possible at scale, the infrastructure that serves these models, especially for demanding tasks like Text-to-Speech (TTS) and Speech-to-Text (STT), must be exceptionally fast, reliable, and cost-effective
• We are seeking a Staff Backend Engineer to build this critical infrastructure. You will be responsible for designing, building, and scaling the backend systems that serve our voice production models. Your work will focus on the difficult engineering problems of building a robust, low-latency platform that forms the backbone of the next generation of AI-driven software
• Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
• Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
• Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
• Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
• Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
• Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively