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USA Tech Recruit seeks a Technical Lead – Applications to own the core architecture that connects AI systems with real-world user experiences. This hands-on leadership role focuses on scalable backend services, APIs, and client integrations across mobile and desktop platforms.
You will guide engineering strategy while staying close to code, making architectural decisions, and ensuring fast, reliable systems as the product grows.
A fast-growing AI-first technology company is looking for a Technical Lead – Applications to own the core application architecture that connects advanced AI systems with real-world user experiences. This is a hands‑on technical leadership role focused on designing scalable backend services, APIs, and client integrations that power next‑generation AI products across mobile and desktop platforms.
Successful candidates will lead the application engineering strategy while staying close to the code, making critical architectural decisions, and ensuring systems remain fast, reliable, and scalable as the product grows. You will work across backend, mobile, and desktop environments, partnering closely with machine learning teams to translate AI capabilities into reliable, production‑ready user experiences.
You will lead a small team of senior application engineers, establish strong engineering practices, and drive technical decisions across architecture, reliability, security, latency, cost, and user experience. This role requires someone who can balance rapid product iteration with strong engineering fundamentals, ensuring AI‑powered workflows are robust, observable, and built for long‑term scale.
Key words: Technical Lead / Engineering Lead / Application Architect / Software Engineering Lead / Principal Software Engineer / Staff Software Engineer / Backend Lead / Product Engineering Lead / AI Applications / Generative AI / AI Product Development / Backend Systems / Distributed Systems / API Design / System Architecture / Cloud Architecture / Microservices / Mobile Applications / Desktop Applications / Machine Learning Integration / LLM Integration / Production Systems / Observability / Reliability Engineering / Scalability / System Design / Technical Leadership
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