What will I be doing? As a Senior Pre-Sales Engineer, you are a “developer-plus” technical contributor. You are responsible for building high-quality mock backends, APIs, and demo infrastructure, but with a unique twist: you leverage LLMs and Generative AI to prototype at high velocity. This role sits at the critical boundary between Product Engineering and Go-to-Market. While you won’t build production systems, you will build “production-shaped” assets: reusable, well-structured, and documented services that enable credible technical storytelling and high-fidelity client validation. Your core responsibilities will include: * AI-Accelerated Prototyping: Leverage LLMs (e.g., Claude and Gemini) to rapidly scaffold, build, and iterate on proof-of-concept apps and mock services. You move faster than a traditional sprint by using AI to handle the “heavy lifting” of boilerplate and logic generation. * Technical Asset Development: Design, build, and maintain reusable mock services in Node.js / TypeScript. You’ll implement contract-first APIs (REST/GraphQL), manage AWS deployments (API Gateway, Containers), and handle persistence using PostgreSQL or DynamoDB * Infrastructure as Code: Manage demo environments using Terraform, ensuring environments are reproducible and secure using existing OIDC authentication patterns. * Frontend Collaboration: Work closely with frontend engineers to ensure UI components point cleanly to your mock services, debugging integration issues and supporting end-to-end demo flows. * Strategic Pre-Sales Support: Partner with Pre-Sales consultants to translate client “win themes” into working technical artefacts. You will occasionally demo directly to clients, showcasing how Kaluza solves their specific retail challenges. * Product & UX Influence: Collaborate with Design and Product teams for UI direction while developing your own design ideas to make Kaluza’s capabilities shine. * Mentorship & Standards: Set informal engineering standards for the pre-sales team, mentoring others on API design and architecture. * AI Evangelism: Act as the resident expert in GenAI workflows for the Commercial team, mentoring others on how to use AI to bridge the gap between “slide-ware” and “software.” What this role is NOT: * A pure presentation-led role (you will be writing code regularly). * Shipping production code (your value comes from building things that work for a demo, not maintaining production SLOs).