• Operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. • Integrate and optimize Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution. • Lead bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools. • Collaborate closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure alignment between software capabilities and RISC-V architectural features.

• Take our card operations agent from internal pilot to production — building the reliability, observability, and guardrails needed for a system handling real financial data and PII. • Own the tradeoffs between latency, model selection, cost, and safety — making pragmatic architectural decisions that keep our unit economics viable as we scale. • Build agent systems that are proactive, not reactive — designing solutions that anticipate what finance teams need rather than waiting to be asked. • Expand agent capabilities across accounting automation, policy enablement, and card operations — working with the AI Product Lead to prioritise what moves the needle for adoption. • Stay sharp on the frontier of LLM research and tooling — evaluate new models, methods, and architectures and bring what works into our stack. • Think like a product engineer, not just an AI engineer — every system you build should drive platform adoption and make clients' lives measurably easier.

• Design and build an AI-powered dispatch micro app that optimizes routing and load assignments for fleet operations. • Develop and maintain backend services using PHP, Symfony, and LAMP-based architecture. • Build frontend interfaces using Angular and/or React depending on system needs. • Develop Python Flask services to support AI/ML model integration and dispatch optimization logic. • Design and implement RESTful APIs for communication between dispatch systems, ERP platforms, and microservices. • Train, integrate, and support AI models that improve dispatch efficiency over time. • Identify, refactor, and reduce technical debt across legacy and modern systems. • Participate in system modernization efforts, including deprecation handling and regression testing. • Review, validate, and refine AI-generated code to ensure correctness, performance, and maintainability. • Collaborate in an agile environment with cross-functional engineering and product teams. • Take ownership of features from design through deployment with minimal oversight.

• Enhance and maintain the mobile application and its integration with a cloud-based rental management system (ERP). • Build and support features for inventory tracking systems such as Ready Tags (color-coded equipment status tracking). • Integrate and extend functionality using the R360 inspection app SDK. • Improve mobile-to-cloud synchronization for inspection, maintenance, and equipment lifecycle data. • Design and build scalable APIs to support mobile and cloud integration. • Identify, resolve, and reduce technical debt across mobile and backend systems. • Participate in modernization efforts to improve system performance, reliability, and maintainability. • Review, validate, and refine AI-generated code, ensuring correctness, performance, and maintainability. • Collaborate closely with cross-functional teams in an agile environment (standups, sprint planning, etc.). • Take ownership of deliverables and drive work independently with minimal oversight.