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Senior Backend/DevOps Engineer
4 weeks ago
Senior Backend Engineer (Application & AI Orchestration) We are seeking a deeply technical and security-minded Senior Backend Engineer to join a newly-founded, high-impact AI joint venture. Backed by five of the world's leading telecommunications giants, our mission is to restore trust in global voice communication. Our mission is to restore trust in voice communication by building a network-native intelligence layer to stop fraud and create a new category of secure, AI-powered user experiences. We are a “Phase 2” company, meaning we are building the foundational engineering team that will define our culture and our success. This role is the Core Logic Owner for our flagship AI experience: the Personal Welcome Manager. While our Security Shield product leverages unique, pre-call telco data to provide sub-500ms trust indicators, the Welcome Manager is our AI innovation showcase and primary monetization driver. This product features an AI agent that screens unknown callers as they ring , provides a live transcript, and allows for mid-call user intervention. As the Senior Backend Engineer for Application & AI Orchestration, your central challenge will be solving the “cumulative latency” puzzle. You will be singularly responsible for orchestrating a best-in-class, “buy, don't build” AI stack (STT → LLM → TTS) to deliver a seamless, natural, and responsive voice-to-voice (V2V) experience, targeting a sub-1000ms latency from the moment a caller stops speaking to the moment our AI begins its response. you will be architecting the real-time, high-throughput nervous system of our core AI product. AI Orchestration & Core Logic Own the end-to-end backend architecture for the Personal Welcome Manager, our flagship conversational AI product. Design, build, and optimize the core AI orchestration pipeline (STT → LLM → TTS) to meet our Serve as the technical lead for our "Buy, Don't Build" AI strategy, integrating, managing, and evaluating third-party AI services from providers like Vapi, Deepgram, and Cartesia. API & Application Development Design, build, and scale the mission-critical, high-availability RESTful APIs that serve our mobile clients (Android-first). Architect and manage the real-time streaming data flows (audio and text) required for the live transcription feature, utilizing technologies like WebSocket. System Architecture & Quality Work with the Platform & Security engineer to ensure all services adhere to our mandatory Zero Trust security architecture and protect sensitive user data. Implement comprehensive monitoring, logging, and alerting for the entire AI pipeline, with a focus on our key latency (V2V), quality, and cost metrics. Partner closely with the Senior Android Engineers to define robust API contracts and ensure a seamless, low-latency experience for the live transcript and mid-call intervention features. Collaborate with the Senior Backend Engineer (Telco Integration) to consume and orchestrate the proprietary network signals that power our Security Shield. Work with the Product Manager and UX/UI Designer to translate complex product requirements and the “1000ms UX flow” into a concrete technical reality. Collaborate with the DevOps Engineer on CI/CD pipelines, Kubernetes-based service deployment, and infrastructure scaling. Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. ~7+ years of hands-on experience in backend development, building and maintaining high-availability, high-throughput systems in production. Expert-level proficiency and at least 5 years of production experience with C++ OR Go (Golang) . Strong, proven experience designing, building, and scaling high-availability RESTful APIs for mobile or web clients. Demonstrated experience with real-time applications and data streaming technologies (e.g., Experience integrating third-party AI/ML APIs (e.g., Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH.
