• Own and ship core AI-powered product features end-to-end—from problem definition to production deployment and measurement. • Design, build, and optimize production LLM systems including RAG pipelines, AI agents, embedding workflows, evaluation frameworks, and fine-tuning pipelines. • Make architecture and system design decisions across backend services, databases (SQL and vector), APIs, and cloud infrastructure. • Dive deep into the business domain (marketing, SEO, GEO, content automation) to make smart product and engineering trade-offs. • Connect every engineering decision to user outcomes—ask “does this move revenue or retention?” before “is this technically elegant?” • Collaborate directly with founders and cross-functional teams, operating as a product-minded engineer rather than a spec-follower.

• Build systems that make real-time authorization decisions on card transactions • Design systems that dynamically adjust how much a user can spend based on their income and cash flow • Work on edge cases where money, timing, and user expectations don't line up cleanly • Ensure systems are both fast (sub-second decisions) and correct when real money is on the line • Build integrations with partners in the banking and payments ecosystem • Represent Reset in technical conversations with partners • Design systems that remain reliable even when upstream systems are delayed • Debug real-world issues across distributed systems

• Build, test, and deploy automations and AI-powered tools that optimize workflows and accelerate marketing operations and automate go-to-market execution. • Integrate APIs and design MCP servers to ensure seamless interoperability across internal systems. • Collaborate with marketing, product, and security teams to design and automate the generation of branded documents and marketing assets, ensuring consistency across all go-to-market materials. • Continuously research, experiment, and apply the latest GenAI technologies to Qohash’s AI automation roadmap. • Rapidly prototype and iterate on intelligent workflows, delivering in days or weeks instead of months. • Contribute directly to the Qohash Deal Desk, embedding AI capabilities into sales enablement and execution. • Write clean, maintainable, and well-documented code. • Participate in code reviews and knowledge-sharing sessions, promoting an AI-first engineering culture.

• Ship daily: CI/CD goes straight to ECS. Your code hits production the same day. • You'll work on proposal management systems, venue search with live updates, conversational UIs, and complex data management - all powered by AI underneath. • First month - Learn the system, ship real things: Understand the codebase: monorepo structure, shared packages, how AI streaming reaches the UI • Pair with Lorenzo on existing features - fix bugs, improve API routes, refine UI interactions • Architect complex features from scratch (real-time streaming, drag-and-drop interfaces, multi-step forms) • Build integrations with external services (email, document processing, third-party APIs)