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

Scivora Technologies Inc.
Beverly Hills, CA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Cloud Engineering Database Models Distributed Systems Python (Programming Language) Network Layer Node.Js Performance Tuning Software Architecture
+17 more
TypeScript WebSocket WebRTC Real Time Systems Pytorch Swiftui Large Language Models Reliability of Systems Backend Kubernetes Infrastructure Automation Frameworks Low Latency Live Streaming Machine Learning Operations Front End Software Development Feature Extraction Terraform

Job description

Scivora is building a new category in emotional performance intelligence. Our early users-actors, performers, speakers, and founders-rehearse live on camera and receive real-time multimodal feedback on clarity, emotional delivery, presence, and communication patterns., We are hiring one of two Founding Full-Stack Engineers , with this role leaning deeply into backend architecture, AI pipelines, native iOS-integrated real-time systems, and infrastructure scalability. You will build the core intelligence layer and technical backbone that powers the entire Scivora platform.

This is not a task-execution role. This is a founding technical partner role for an engineer who wants ownership, range, and the opportunity to architect a category-defining product from day zero and grow into long-term technical leadership., * Native iOS surfaces (Swift, SwiftUI, AVFoundation, camera frameworks)

  • Backend systems and APIs (Node, Python, distributed services)
  • AI pipeline integration (multimodal models, LLMs, inference orchestration), * 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

Full-Stack Mobile Responsibilities (Secondary but Required)

  • 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

Requirements

  • 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

Who You Are

  • A founder-minded engineer who wants to build the core engine of a new category
  • Equally comfortable moving fast in v1 and architecting for long-term scale
  • Fluent in technical reasoning and product trade-offs
  • Low-ego, high-range, resilient, and highly communicative
  • Motivated to grow into long-term technical leadership based on performance and fit

Benefits & conditions

  • Initial engagement will begin as a paid contract, structured to validate technical and team fit
  • Full-time salary will transition in once both sides confirm long-term alignment and production stability
  • Equity is offered as RSUs (Restricted Stock Units) based on role scope, ownership, and long-term impact
  • Compensation structure is flexible and competitive, aligned to experience and responsibility
  • This role is designed with a clear path into long-term technical leadership as Scivora scales

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