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Founding Engineer — Full Stack; Backend + AI​/Infrastructure Focus

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Scivora
Full Time position
Listed on 2026-01-02
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Founding Engineer — Full Stack (Backend + AI / Infrastructure Focus)

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.

Definition of Full‑Stack at Scivora

At Scivora, “full‑stack” means mobile + backend + AI
:

  • Backend systems and APIs (Node, Python, distributed services)
  • AI pipeline integration (multimodal models, LLMs, inference orchestration)
What You Will Do Backend + AI + Real‑Time Infrastructure (Primary Focus)
  • 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, Web Sockets, 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
Ideal Background
  • 5+ years of engineering experience across backend systems, distributed infrastructure, and AI/ML
  • Advanced proficiency in Python and Node/Type Script
  • Experience with PyTorch, transformers, computer vision, and audio pipelines
  • Strong real‑time systems experience (WebRTC, Web Sockets, 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
Compensation & Growth
  • 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
Seniority level
  • Executive
Employment type
  • Full‑time
Job function
  • Software Development
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