Lead Backend Engineer (AI Integration & Real-Time Systems)
ClosedBackend Backend FastAPI Python
Khu vực
Phúc lợi
Cấp laptop
Phúc lợi khác
Thời gian làm việc linh hoạt
Cho phép làm tại nhà
Tổng quan về công việc và trách nhiệm
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
Kỹ năng và kinh nghiệm tối thiểu
● 7–10+ years in backend engineering, with 5+ years building scalable, distributed, real-time systems. ● Expert in Python, FastAPI, WebSocket development (including TLS/WSS). ● Strong experience with GCP (Cloud Run, Firestore, Memorystore, Pub/Sub, Vertex AI). ● Proficient in integrating LLM APIs (Gemini preferred); experience with ADK or equivalent frameworks (LangChain, LangGraph). ● Hands-on experience building RAG systems (ideal in educational context). ● Familiarity with prompt engineering, distributed systems, performance tuning.
Tại sao ứng viên nên làm ở đây
- Work arrangement: Hybrid (office 1-2 days/week) - Full-time labour contract
Ưu tiên có kỹ năng và kinh nghiệm
● Technical leadership experience in AI or EdTech projects. ● GCP certifications (Cloud Developer or Cloud Architect).
Báo cáo cho
Client
Quá trình phỏng vấn
Technical interview and English check -> Client review, assignment (3hrs) -> Interview with client side
