Live opening · Posted 11 days ago
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Description supplied by the original job listing.
Responsibilities:
AI-Augmented Engineering: Utilise the latest AI tools (LLMs, agentic workflows, and advanced IDEs) to prototype and deploy production-grade features with 10x efficiency.
Architectural Stewardship: Design robust, end-to-end systems. You are responsible for ensuring that AI-generated components integrate seamlessly into a clean, maintainable, and secure architecture.
Production Safeguarding: Exercise high technical discernment. You must have the deep experience required to audit AI-generated output, identifying subtle logic flaws or performance bottlenecks before they reach production.
Impact Analysis: Identify high-leverage areas within the product lifecycle where AI can optimise user experience, system latency, or operational throughput.
Holistic Ownership: Own the entire lifecycle from initial architectural design and data modelling to frontend UX and production observability.
Requirements:
Deep Architectural Expertise: 8+ years of experience leading complex production systems. You understand the "blast radius" of architectural decisions and prioritise system reliability.
AI Mastery and Prompt Engineering: You are an expert at utilising AI to accelerate development. You know how to provide the right context, constraints, and instructions to LLMs to produce high-signal technical results.
Technical Discernment: You possess the "production scars" necessary to distinguish between elegant code and "hallucinated" solutions that may fail under load or edge cases.
Full-Stack Fluency: Strong hands-on proficiency in modern stacks (typically Python, TypeScript, React) and the ability to rapidly master new technologies through AI-assisted learning.
CS Fundamentals: Deep knowledge of algorithms, data structures, and distributed systems. You understand the foundational principles that AI tools occasionally overlook.
Succinct Communication: The ability to write clear design documents and provide high-value code reviews that mentor the team in "thinking like an architect. "
Experience
8-12 yrs
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