[Hiring] Software Engineer, Video Generation @EnCharge AI

Role Description

We are seeking a Software Engineer to build the infrastructure and applications that bring our video generation capabilities to market. You'll build the serving stack, customer-facing APIs, and develop agentic systems that demonstrate what's possible when video generation meets energy-efficient hardware.

• Design and build scalable serving infrastructure for video generation models (Wan, LTX-Video, Flux, and beyond). Own latency, throughput, reliability, and cost optimization.
• Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products. Design abstractions that balance flexibility with ease-of-use.
• Develop compelling demo applications that showcase our platform's capabilities—interactive experiences, batch processing workflows, and vertical-specific solutions that support the GTM team.
• Build agentic systems that leverage video generation as a core capability—autonomous video editing pipelines, multi-step generation workflows, and tool-use patterns that extend what's possible with video AI.
• Establish monitoring, observability, and deployment practices for video generation workloads. Ensure systems are reliable, debuggable, and ready for customer-facing use.

Qualifications

• 5+ years of software engineering experience, with a focus on backend systems or ML infrastructure
• Strong fundamentals in Python and at least one systems language (Go, Rust, C++)
• Experience building and operating production APIs and serving systems
• Familiarity with ML inference pipelines (model serving, GPU workloads, batching strategies)
• Comfort working in fast-moving, ambiguous environments where you define the roadmap
• Strong product instincts—you think about how software will be used, not just how it works

Requirements

• Experience with video processing pipelines or media infrastructure
• Background building agentic systems or multi-step AI workflows
• Familiarity with diffusion models or generative AI systems
• Experience with Kubernetes, Ray, or other orchestration frameworks
• Track record shipping developer tools or APIs