Product Engineer

Responsibilities

• Design and ship end-to-end applications from prototype to production across frontend, backend, and cloud.
• Build clean, scalable APIs and services and integrate AI models where they create real value.
• Create reliable, maintainable AI pipelines for data ingestion, preprocessing, embeddings, retrieval, and orchestration.
• Engineer prompting strategies and guardrails for latency, cost, and accuracy.
• Integrate AI features into full-stack applications with robust APIs, frontend UX, and CI/CD pipelines.
• Collaborate with designers, product managers, and engineers to deliver polished product experiences.
• Evaluate new AI tools and models for performance, cost, and fit.
• Write production-grade, testable, maintainable code in TypeScript/JavaScript and Python.

Requirements

• 7+ years of professional software engineering experience.
• Proven track record of shipping production applications.
• Hands-on experience with LLM APIs, embeddings, vector databases, and orchestration frameworks.
• Strong command of modern web stacks and cloud infrastructure.
• Knowledge of architecture, scalability, performance, and security.
• Experience with testing, code reviews, monitoring, and observability.
• Clear communication, self-management, and comfort working in a collaborative remote environment.
• Ability to learn new languages and frameworks and use modern AI development tools.

Nice-to-haves

• Experience fine-tuning models or training custom models on domain-specific data.
• Contributions to open-source AI or developer tooling.
• Mature prompt engineering and evaluation practices.
• Background in data engineering or MLOps.
• Interest in AI alignment, agency-increasing technologies, and ethical AI development.

Compensation and Benefits

• Salary range of $115,000–$185,000 per year for candidates based in LA.
• Equity in client projects and Skunkworks ventures.
• Equity is granted at a stated tax value of $0, with vesting and retention opportunities described by the company.