About The Position

This role offers the chance to own and drive the full technical stack of a cutting-edge AI platform connecting users through shared experiences. You will have end-to-end ownership of frontend, backend, and AI infrastructure, making architecture decisions that scale from dozens to thousands of users. Working closely with founders, product leaders, and customers, you will ship features rapidly, implement agentic AI workflows, and coordinate specialist contractors. The position requires a hands-on, AI-native engineer who thrives in a fast-moving, lean environment and can balance speed with technical excellence. You will pioneer new ways to integrate AI into development, optimize productivity, and influence the overall engineering culture. This is ideal for someone who enjoys autonomy, experimentation, and making a tangible impact in a high-leverage role.

Requirements

  • 5+ years of full-stack development experience across frontend and backend systems.
  • Strong proficiency in TypeScript/JavaScript and Python.
  • Hands-on experience with cloud platforms such as GCP (Vertex AI, Cloud Run, BigQuery) or equivalent.
  • Production experience integrating LLM APIs (Anthropic, OpenAI, Google).
  • Comfortable with PostgreSQL, Redis, and event-driven architectures.
  • AI-native mindset: regular use of AI coding assistants, familiarity with agentic workflows, and prompt engineering knowledge.
  • Demonstrated end-to-end ownership of systems and architecture decision-making.
  • Experience managing or collaborating with contractors/freelancers, providing clear specifications and feedback.
  • Strong communication skills for asynchronous collaboration and documentation.
  • Self-starter who thrives in fast-paced, lean, and experimental environments.

Responsibilities

  • Take full ownership of the AI platform’s frontend, backend, APIs, and cloud infrastructure.
  • Make architecture and technical decisions ensuring scalability, reliability, and security.
  • Maintain production systems, CI/CD pipelines, and manage technical debt.
  • Orchestrate and review work from specialist contractors and AI agents to maximize output.
  • Build and optimize agentic workflows that automate boilerplate code, testing, and documentation.
  • Document patterns, standards, and best practices for autonomous contractor and agent work.
  • Ship customer-facing features end-to-end while balancing speed and quality.

Benefits

  • Competitive salary and equity opportunities.
  • Flexible work schedule and remote work options.
  • Health, dental, and vision insurance.
  • 401(k) or retirement plan participation with company match.
  • Generous paid time off and parental leave.
  • Professional development and learning opportunities.
  • A highly autonomous role with direct impact on product and engineering strategy.
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