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Scivora · 2 weeks ago

Founding Engineer — Full Stack (Backend + AI / Infrastructure Focus)

United States

Full-time

Remote

Senior Level

5+ years exp

Scivora is building a new category in emotional performance intelligence and is looking for a Founding Engineer with a focus on backend and AI infrastructure. The role involves architecting backend systems, integrating AI pipelines, and developing real-time feedback systems, while also having the opportunity to influence the architectural direction of the product.

Artificial Intelligence (AI)EducationFilmFinTech

Hiring Manager

Juliet G.

Responsibilities

Architect and implement Scivora’s backend systems (Node, Python)

Build and scale multimodal AI pipelines (vision, audio, NLP, behavioral feature extraction)

Integrate real-time feedback systems across iOS and cloud using WebRTC, WebSockets, and streaming protocols

Implement model routing, inference orchestration, and LLM-powered analysis

Design and optimize the emotional performance scoring engine (fusion models, scenario evaluation, context-aware feedback)

Own database modeling, authentication, user state, and session lifecycle management

Build secure, high-performance camera video ingestion and processing flows for live rehearsal

Optimize real-time emotional feedback rendering performance across mobile and network layers

Establish observability, monitoring, performance tuning, and system reliability

Deploy and manage infrastructure using Kubernetes, Terraform, or equivalent IaC tools

Support native iOS frontend engineering for UX/UI

Build internal dashboards and early user-facing tools

Implement limited frontend flows as needed

Collaborate with the frontend / product founding engineer on clean interface contracts between mobile, backend, and AI layers

Participate in and influence system-wide architectural decisions

Qualification

Backend systemsAI pipelinesReal-time systemsInfrastructure managementNative iOS developmentPythonNode.jsAWSGCPCommunication skillsTeam collaboration

Required

5+ years of engineering experience across backend systems, distributed infrastructure, and AI/ML

Advanced proficiency in Python and Node/TypeScript

Experience with PyTorch, transformers, computer vision, and audio pipelines

Strong real-time systems experience (WebRTC, WebSockets, low-latency streaming)

Deep AWS or GCP cloud architecture experience

Strong understanding of camera systems, video pipelines, and mobile performance constraints

Proven ability to translate ambiguous founder vision into scalable, production-ready systems

Architect and implement Scivora's backend systems (Node, Python)