Inworld

Join Inworld as a founding Solutions Engineer and become the technical backbone of its revenue team, turning customer opportunities into production deployments. You’ll lead POCs, build real-world AI integrations, and help define the company’s solutions engineering function.

Own the full production lifecycle of realtime multimodal model serving, optimizing inference latency, throughput, and reliability at thousands of queries per second. This remote Switzerland role combines machine-learning systems, GPU performance engineering, and distributed infrastructure ownership.

Own the optimization and production serving of realtime multimodal models at massive scale. You’ll solve hard latency, throughput, and reliability problems across inference engines, GPUs, and distributed systems.

Build and optimize high-performance serving infrastructure for Inworld’s realtime multimodal and agentic models. You’ll own the path from research models to reliable, highly scalable production inference.

Build and optimize production-grade machine learning serving systems for real-time multimodal inference at scale. You’ll own performance, reliability, and distributed deployment across high-performance GPU infrastructure.

Own and scale secure cloud infrastructure and platform tooling for Inworld’s realtime AI products. This high-impact role combines Kubernetes, infrastructure-as-code, CI/CD, reliability engineering, and AI-powered developer workflows.

Build the backend systems powering Inworld’s realtime AI platform, including intelligent routing across hundreds of models and providers. This IC-focused Staff/Principal role combines deep technical ownership, high-scale infrastructure, and rapid zero-to-one product development.

Build the backend systems powering Inworld’s real-time AI platform, including intelligent multi-provider routing, APIs, model services, and large-scale infrastructure. This IC-focused Staff/Principal role offers broad technical ownership across fast-moving zero-to-one AI products.