
1 - 10 Mitarbeiter
Gegründet 2018
🏭 Fertigung
💼 Beratung
📦 Logistik
Manufacturing • Consulting • Logistics
Continuum Resource Network ist ein spezialisiertes Personalvermittlungsunternehmen, das talentierte Kandidaten mit führenden Arbeitgebern verbindet und Lösungen für die Personalbeschaffung sowie Stellenvermittlungsdienste anbietet. Das Unternehmen legt besonderen Wert auf menschzentrierte Rekrutierung, unterstützt durch KI, und hilft Arbeitssuchenden, Chancen zu finden, während es Kunden durch beziehungsorientierte Talentakquise unterstützt, offene Stellen zu besetzen.
🕒 vor 4 Tagen
🏄 California, New York – Remote
⏰ Vollzeit
🟡 Mittelstufe
🟠 Senior
🧑💻 Full-Stack-Entwickler
👻 Geisterscore 15%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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1 - 10 Mitarbeiter
Gegründet 2018
🏭 Fertigung
💼 Beratung
📦 Logistik
Manufacturing • Consulting • Logistics
Continuum Resource Network ist ein spezialisiertes Personalvermittlungsunternehmen, das talentierte Kandidaten mit führenden Arbeitgebern verbindet und Lösungen für die Personalbeschaffung sowie Stellenvermittlungsdienste anbietet. Das Unternehmen legt besonderen Wert auf menschzentrierte Rekrutierung, unterstützt durch KI, und hilft Arbeitssuchenden, Chancen zu finden, während es Kunden durch beziehungsorientierte Talentakquise unterstützt, offene Stellen zu besetzen.
• Own products, features, or core systems from initial concept and architecture through production deployment. • Build across the stack, including backend services, APIs, data infrastructure, frontend/product surfaces, and cloud systems. • Develop AI-native products and workflows using LLMs, agents, tool integrations, retrieval systems, and modern AI development tools where relevant. • Make pragmatic architecture and product decisions in environments with limited process and incomplete requirements. • Work directly with founders, customers, and other stakeholders to identify problems and translate them into shipped software. • Build integrations with external APIs, business systems, data sources, and third-party platforms. • Establish engineering patterns, tooling, testing, observability, and best practices as teams scale. • Help shape engineering culture and, in some roles, mentor or lead engineers who join after you. • Work across opportunities at venture-backed AI and technology companies, from founding teams to rapidly scaling startups.
• Strong professional software engineering experience with evidence of shipping production systems. • Ability to move from an ambiguous problem to a working production solution without requiring a detailed specification. • Strong backend, full-stack, product engineering, or systems engineering fundamentals. • Experience with one or more modern production languages such as Python, TypeScript/JavaScript, Go, Java, or Rust. • Comfort working across multiple layers of a product rather than being limited to a very narrow specialty. • High agency, strong problem-solving ability, and comfort operating in fast-moving environments. • Track record of meaningful technical impact, rapid growth, entrepreneurial work, strong startup experience, or other clear signals of engineering excellence. • Clear communication and ability to explain technical decisions and tradeoffs. • Experience as a Founding Engineer, Early Engineer, Product Engineer, Full-Stack Engineer, Backend Engineer, or Staff/Senior Software Engineer is particularly relevant. • Experience at an early-stage or high-growth startup, or ability to operate effectively in a startup-style environment. • 0-to-1 product or platform development experience. • Production AI/LLM or agentic-system experience is particularly relevant. • Python and/or TypeScript/React experience is particularly relevant. • API integrations, distributed systems, data infrastructure, or developer tooling experience is particularly relevant. • Daily use of modern AI coding tools such as Claude Code, Cursor, Copilot, Codex, or similar tools is particularly relevant. • Entrepreneurial experience, meaningful side projects, open-source work, or previous founder experience is particularly relevant. • Specific in-office or hybrid expectations, seniority, compensation, equity, visa sponsorship, education preferences, and technical stacks vary by opportunity.
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