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

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

About the Role

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 :

• Native iOS surfaces (Swift, Swift
  
  UI, AV Foundation, camera frameworks)
• 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

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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