Lead Backend Engineer (AI Integration & Real-Time Systems)
ClosedBackend Backend FastAPI Python
Location
Benefits
Laptop/desktop for works
Other benefits
Flexible working time
Work-from-home
Job Overview And Responsibility
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
Required Skills and Experience
● 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.
Why Candidate should apply this position
- Work arrangement: Hybrid (office 1-2 days/week) - Full-time labour contract
Preferred skills and experiences
● Technical leadership experience in AI or EdTech projects. ● GCP certifications (Cloud Developer or Cloud Architect).
Report to
Client
Interview process
Technical interview and English check -> Client review, assignment (3hrs) -> Interview with client side
