Founding Engineer — Full Stack (Backend + AI / Infrastructure Focus)
Summary
Builds the core AI-powered backend and real-time infrastructure for a video-based emotional performance coaching platform, integrating multimodal models, iOS-native systems, and scalable cloud services.
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, SwiftUI, AVFoundation, 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, 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
Ideal Background
- 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
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