Software Engineer Product and Enablement

Job description

kausable is moving from a pure research lab toward products used by real customers. As our software engineer for product and enablement, you own two scopes, and serve two types of customers: external ones (product) and internal ones (enablement/tooling). Product : externally shipped functionality. This is the software layer around our AI: the applications through which users interact with our AI and the delivery infrastructure that unlocks them. This entails quality assurance before and after delivery, for the technical/software axis as well as the machine-learning/capability axis. Enablement : internal platforms and tools, developer workflows; in a sense products where the customers are your research-science colleagues. The boundary with our Harness Engineer is deliberate. That role owns building and improving the ML capabilities. You own the adaptable software systems through which users experience those capabilities. Tasks Build customer-facing applications and integrations from scoping through delivery. Assure the quality of our products: before and after delivery, technical (software) and capability (machine-learning performance). Design APIs, workflows and frontend interfaces that keep complex model capabilities usable. Act as a technical bridge between researchers, product stakeholders and the people using what we build. Contain technical debt through thoughtful abstractions, testing and documentation. Design the delivery pipelines, versioning and observability needed across training, evaluation and live inference. Own model releases, monitoring and rollback patterns as the production footprint grows. Build internal platforms and tools that reduce setup time and cognitive load for researchers. Improve researcher experience through reproducible environments, CI/CD, automation and clear repository standards. Requirements Broad software engineering experience across backend and infrastructure. Deep understanding of software design and complexity management: you build systems that remain easy to change. Strong Python skills plus TypeScript, JavaScript or another modern frontend language. Experience with containers, cloud infrastructure and production delivery. Experience with quality measurements and assurance of ML capabilities. A track record of customer-facing or cross-functional project work. Clear communication, strong problem solving and a pragmati…