Full-Stack Engineer – AI Video Orchestration Platform (Enterprise B2B)

Company: Factual Holding CoVenture studio building infrastructure-grade software businesses.Salary: ₹50000-₹60000 per month Role SummaryFactual Holding Co is building a commercial-grade AI video orchestration platform designed for high-spend DTC brands, creative strategists, and performance marketing teams operating in volatile ad environments. The product is not a consumer SaaS tool or a “gen-1 AI wrapper,” but an enterprise-oriented creative manufacturing system that automates strategy-to-asset pipelines at scale, replacing fragmented workflows and manual editing loops.The Full-Stack Engineer will own end-to-end product execution across frontend, backend, and AI-integrated workflows, with a strong bias toward systems thinking, reliability, and orchestration over surface-level UI features.This role is critical to building infrastructure that enables:High-volume creative variation generationDirected AI workflows (not black-box generation)Enterprise-grade reliability, transparency, and trustCore ResponsibilitiesPlatform Architecture & EngineeringDesign and implement full-stack architecture for an AI-driven video orchestration platform that connects research, scripting, asset generation, assembly, and iteration into a single systemBuild scalable backend systems to support high-volume creative testing workflows (100+ variants per concept) without performance degradationEnsure modular, extensible architecture that supports future expansion into deployment, analytics, and feedback loopsFrontend DevelopmentDevelop intuitive, low-cognitive-load interfaces that replace traditional timeline-based editing complexity with guardrail-driven orchestration flows, optimized for non-technical but high-stakes usersImplement UI patterns that allow users to define creative strategy inputs (angles, hooks, formats) while abstracting execution complexityBackend & Systems EngineeringBuild APIs and services that manage creative input schemas (angles, briefs, constraints), asset generation pipelines, variant orchestration logic, and versioning and reproducibilityEnsure deterministic behavior where required to avoid the “inconsistent output” failure common in gen-1 AI toolsAI & Media Pipeline IntegrationIntegrate and orchestrate AI components across script and copy generation, visual asset generation, and avatar-based or voice-based video assembly (where applicable)Focus on directed AI execution, not prompt-spam or template layeringQuality, Trust, and Commercial ReadinessImplement transparent system behaviors that support enterprise trust: predictable billing logic, observable outputs, and clear failure statesEnforce output quality standards to avoid generic, templated, or uncanny valley results that damage brand credibilityRequired QualificationsTechnical SkillsStrong experience as a Full-Stack Engineer with frontend and backend ownershipProficiency with modern frontend frameworks such as React or equivalentBackend experience with scalable APIs, job queues, and async processingExperience integrating AI/ML or media pipelines such as LLMs, image or video generation systemsSolid understanding of system design, performance optimization, and reliabilityProduct & Systems ThinkingAbility to reason in workflows and systems, not just featuresComfort building infrastructure for users operating under time pressure, volatility, and high financial stakesStrong judgment around abstraction boundaries and orchestration logicMindset FitHigh intolerance for fragile, gimmicky, or deceptive SaaS patternsBias toward clarity, determinism, and maintainabilityComfortable working in a high-ownership environment with minimal hand-holdingPreferred ExperienceExperience building B2B SaaS platforms used by revenue-critical teamsFamiliarity with ad-tech, creative tooling, or performance marketing workflowsExperience designing systems that replace fragmented toolchains with unified platforms

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