Lead Backend Engineer (AI Integration & Real-Time Systems)

職務概要

Role Overview We are seeking a highly experienced Lead Backend Engineer to architect and implement the core backend systems for Felix AI – an innovative EdTech platform leveraging AI to deliver real-time, personalized tutoring. This role is central to building scalable, secure, low-latency systems on Google Cloud Platform, integrating advanced AI services (Gemini, Vertex AI, ADK), and supporting real-time interactions via WebSockets and audio streaming. Key Responsibilities ●​ Design, implement, and scale backend services on GCP with a focus on performance, resilience, observability, and low-latency for real-time communication. ●​ Develop RESTful APIs using FastAPI (OpenAPI 3.0 compliant) and efficient Firestore data models. ●​ Integrate and orchestrate ADK-based pedagogical agents on Vertex AI, define toolkits (FunctionTools, BaseTools), and manage agent context/state. ●​ Implement Gemini Pro/Flash/Live APIs, including streaming logic, configuration handling, and prompt engineering for optimal AI performance. ●​ Architect and operate a real-time communication layer over WebSockets (Python) with secure, performant audio (PCM) streaming. ●​ Manage distributed session state using Redis (Memorystore). ●​ Collaborate with iOS engineer for API/WebSocket contracts and integration. ●​ Work with the Full-Stack/DevOps engineer on infrastructure, CI/CD, monitoring, and backend optimization. ●​ Contribute to mentoring, code reviews, documentation, and architectural decisions.​ Key Performance Indicators (KPIs) ●​ API p95 response time < 500ms (excluding network latency) ●​ 99.9% backend uptime ●​ Complete and accurate OpenAPI documentation (>95%) ●​ Successful agent integration and delivery aligned with roadmap ●​ Load-tested scalability to target concurrency thresholds