Back End Developer

Grapevine, TX - Hybrid (3 days onsite) $150,000 – $200,000 Full-time A venture-backed startup is seeking a Founding Engineer to help build the next generation of AI-powered video platforms and intelligent automation systems. The core product is already in market and gaining traction. The next phase is focused on scaling the backend architecture, expanding AI-driven video capabilities, and shipping critical platformfeatures as adoption grows. This is a true builder role in a fast-moving startup environment where engineers have direct ownership over product direction and core technical decisions. You will work closely with the founding team to shape both the platform architecture and the long-term AI strategy. What You'll Work On Designing and building high-performance Python backend services Developing APIs and distributed systems to support AI-driven video workflows Integrating and optimizing video generation and modeling pipelines Working with state-of-the-art video models including WAN, LTX 2.3, and OV ai Building infrastructure to support large-scale video inference and model serving Improving system performance, reliability, and scalability Collaborating directly with founders on technical architecture and product roadmap The platform operates across a modern AI infrastructure including Python (primary backend language) Distributed backend services and API architecture GPU-based compute infrastructure AI model integration and video model pipelines Cloud infrastructure (AWS, Azure, or similar) Workflow orchestration and automation systems Ideal Background Strong experience building Python backend systems in production Experience with video modeling, generative video, or multimodal AI Hands-on work with WAN, LTX 2.3, OV, or similar GPU-based video frameworks Experience building AI inference pipelines or model-serving infrastructure Comfortable working in early-stage startup environments Strong ownership mindset and ability to ship quickly in ambiguous environments Nice to Have Experience with LLMs, multimodal AI, or generative media Familiarity with distributed GPU training or inference pipelines Experience scaling AI platforms or high-throughput data systems J-18808-Ljbffr