Design, build, and maintain the Temporal‑based workflow infrastructure, addressing challenges such as multi‑tenancy, high availability, and cost effectiveness.
Investigate and debug issues in development and production systems using logs, metrics, and debugging tools, escalating risks or complex problems appropriately.
Participate actively in system architecture and technical design discussions, balancing scalability, performance, maintainability, and operational excellence.
Model Integration & Optimization: Integrate state-of-the-art LLMs and foundational models via commercial APIs or self-hosted inference setups. Implement strategies to manage model latency, token constraints, context windows, and fallback mechanisms.
Your day-to-day activities will involve using modern frameworks and agile practices to deliver scalable and high-performing solutions tailored to specific business needs.
You will also bring rigour to the use of AI-generated code, reviewing it for correctness, edge cases, security issues, and maintainability to the same standard as any human-authored contribution. Writing clear task descriptions and specifications to get higher-quality AI assistance and reduce rework is part of how you work.