Hands-On Tech Lead – PropTech & Real Estate Media

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. OUR CLIENT Our client is an elite, tech-powered real estate media company and brokerage that is completely reinventing how real estate is bought, sold, and experienced. Founded by an industry pioneer, they have built a vertically integrated ecosystem combining luxury residential sales, a powerful global education platform, and an in-house creative agency. They treat technology as a core differentiator, empowering lean, autonomous engineering teams to ship quickly, write clean code, and build the future of real estate tech. JOB SUMMARY The Hands-On Tech Lead is an elite full-stack "Unicorn" Generalist who leads technical execution from the front by writing code every single day. In this role, you will sidestep endless theoretical debates and take complete ownership of end-to-end features, building high-performance TypeScript APIs, custom state-machine-driven backend systems, and the user-facing web experiences that connect them. This position requires an expert-level engineer with a strong bias to action who uses next-gen AI coding tools with extreme discipline as a mature utility, focusing heavily on AI engineering maturity to mathematically measure and prove the output reliability of custom agentic systems. RESPONSIBILITIES - Lead Technical Execution: Guide the development of end-to-end features for a lean team, making pragmatic trade-offs between rapid shipping and long-term code health. - Ship from the Front: Remain heavily hands-on, writing clean, production-grade code across the entire full-stack TypeScript ecosystem. - Architect AI & Agentic Systems: Move past basic implementations to deploy custom agentic workflows, state machine logic, and custom RAG pipelines. - Engineer Trust & Reliability: Build custom guardrails, traceability frameworks, and confidence/quality algorithms to mathematically measure, test, and prove LLM output reliability. - Execute with Ambiguity: Turn high-level, ambiguous ideas into functional, working code rapidly, prioritizing immediate execution over lengthy architecture meetings. - Set Engineering Standards: Establish rigorous code review processes, testing discipline, and guidelines for the responsible and mature use of AI coding assistants within the team. QUALIFICATIONS AND JOB REQUIREMENTS Must-Have Technical Expectations & Core Skills: - Language Expertise: Expert-level TypeScript proficiency with deep comfort utilizing advanced patterns (e.g., Generics and Discriminated Unions) to maximize shipping speed. - Backend Foundations: Deep Node.js experience, with a strong preference for Mastra or a proven background in building custom state-machine-driven backend logic. - Frontend Frameworks: Strong capabilities in modern web development; our primary stack is SvelteKit, but React or Vue wizards with the engineering DNA to pick up new frameworks fast are highly welcome. - Production AI Experience: A track record of deploying practical LLM-powered features or agents, paired with a solid understanding of token costs, evaluations, and prompt safety. - Pragmatic AI Tooling: Advanced, daily use of next-gen engineer