Backend Engineer for AI Applications
Posted
Summary
Inworld is hiring a Staff/Principal-level backend engineer in Vancouver to build real-time backend systems and scalable cloud services for consumer AI applications, including an intelligent routing layer across 200+ LLMs and API services for TTS, STT, LLM, and RAG on GCP, AWS, or Azure.
Shape the future of AI with Inworld as a Principal Engineer, focusing on backend systems and cloud-based services. Leverage your 8+ years of experience to build real-time systems across AI applications.
Inworld seeks a Staff/Principal-level backend engineer with substantial autonomy and proven skills in developing and operating scalable cloud services. Work directly on intelligent routing layers, API services, and consumer AI applications powering millions of users. Startup experience is essential, especially with a background in innovative AI infrastructures.
Key Responsibilities: • Own backend systems for intelligent routing across 200+ LLMs • Build API-based services for TTS, STT, LLM, and Knowledge/RAG • Design infrastructure for real-time consumer AI applications • Collaborate with PMs and ML teams to identify needs • Influence technical standards and drive system improvements
Requirements: • 8+ years of backend software engineering experience • Proven ability to ship zero-to-one platform products • Hands-on experience with caching technologies • Strong cloud infrastructure experience with GCP, AWS, or Azure • Technical degree in a relevant STEM field
Elevate your career by contributing to cutting-edge AI technologies with Inworld.
Inworld seeks a Staff/Principal-level backend engineer with substantial autonomy and proven skills in developing and operating scalable cloud services. Work directly on intelligent routing layers, API services, and consumer AI applications powering millions of users. Startup experience is essential, especially with a background in innovative AI infrastructures.
Key Responsibilities: • Own backend systems for intelligent routing across 200+ LLMs • Build API-based services for TTS, STT, LLM, and Knowledge/RAG • Design infrastructure for real-time consumer AI applications • Collaborate with PMs and ML teams to identify needs • Influence technical standards and drive system improvements
Requirements: • 8+ years of backend software engineering experience • Proven ability to ship zero-to-one platform products • Hands-on experience with caching technologies • Strong cloud infrastructure experience with GCP, AWS, or Azure • Technical degree in a relevant STEM field
Elevate your career by contributing to cutting-edge AI technologies with Inworld.