EnCharge AI - AI Software Engineer

Remote - Bengaluru, Karnataka (or Remote-friendly with travel)3mo ago

Remote Senior APAC Artificial Intelligence Developer Tools Software Engineer AI Engineer Rust Python C++Go Kubernetes

Requirements

• 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 • 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

Responsibilities

• Inference & Serving Infrastructure: Design and build scalable serving infrastructure for video generation models (Wan, LTX-Video, Flux, and beyond). Own latency, throughput, reliability, and cost optimization. • Inference & Serving Infrastructure: • API & Platform Development: 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. • API & Platform Development: • Video Applications & Demos: Develop compelling demo applications that showcase our platform's capabilities—interactive experiences, batch processing workflows, and vertical-specific solutions that support the GTM team. • Video Applications & Demos: • Agentic Workflows: 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. • Agentic Workflows: • Production Operations: Establish monitoring, observability, and deployment practices for video generation workloads. Ensure systems are reliable, debuggable, and ready for customer-facing use. • Production Operations: