Full Stack Engineer

Full-Stack Software Engineer

Our client is a well-funded startup whose leadership team has built multi-billion-dollar businesses and partnered with clients including OpenAI and Microsoft. The company is building the world's first Network OS: an AI-powered platform that maps, tracks, and activates human relationship capital at scale, giving CEOs instant visibility into their networks and powering warm introductions, opportunity sourcing, and deep relationship graph visualization across investors, board members, and key stakeholders. On track for $6M ARR in 2026 and targeting $100M ARR within three years, our client offers a rare combination of real upside, meaningful ownership, and a problem worth solving. This Full-Stack Software Engineer will work directly with technical leadership to build and scale the core platform end-to-end.

Responsibilities

• Design and build full-stack features across frontend and backend systems
• Own projects end-to-end: scoping, implementation, testing, and deployment
• Build and maintain scalable data pipelines supporting analytics and AI/ML applications
• Manage and optimize our client's data infrastructure, including data lake and warehouse
• Design data workflows that integrate and experiment with LLM and ML models
• Build and integrate AI agents and LLM-powered product features
• Ensure high performance, security, and reliability across systems
• Collaborate with tech leadership to set KPIs for key story points at user and system level
• Contribute to infrastructure decisions related to data governance and scalability

Skills/Requirements

• Extreme ownership mindset: proactive, accountable, and solutions-oriented
• Full-stack engineering experience across frontend and backend systems
• Startup experience; comfortable building quickly in ambiguous, fast-moving environments
• Hands-on experience building or integrating AI agents, LLM workflows, or AI-enabled products
• Strong product sense with a good eye for UX/UI and user-facing design quality
• Experience designing secure authentication, authorization, and database systems
• Strong proficiency with Python, Next.js, and TypeScript
• Experience working on public-facing platforms or production-grade user applications
• Willingness to work 40+ hours per week and travel approximately 3 times per year for team offsites
• Preferred: experience with Neo4j graph databases and/or Google Cloud Platform (GCP)
• Preferred: experience integrating CRM, messaging, or email APIs (Gmail, WhatsApp, SMS)
• Preferred: familiarity with data pipeline tools such as Airflow, dbt, Kafka, or Spark
• Preferred: prior experience at an early-stage startup or as a technical founder or operator