Software Engineer - AI Enablement

Responsibilities

• Own full-stack features and projects end-to-end, from design through production deployment, within a larger product area.
• Develop reliable backend services in TypeScript and Python, working with distributed systems, data pipelines, and AI/ML infrastructure.
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows.
• Ship quickly through tight experimentation loops while maintaining high quality and reliability.
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end.

Requirements

• 3+ years of full-time software engineering experience.
• Solid full-stack fundamentals with production ownership of shipped features.
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products and tools.
• Exposure to distributed systems and cloud-based architectures.

Preferred Qualities

• Strong product intuition and customer empathy.
• Entrepreneurial mindset and experience building or implementing agentic workflows.
• Ownership mentality and focus on delivering outcomes.
• Comfort collaborating across engineering, product, data science, and applied AI.
• Excitement about building agentic systems that make AI useful in real-world workflows.

Compensation and Benefits

• Base salary range: $180,000–$225,000 USD for the full-time position in San Francisco.
• Compensation may include base salary, equity, and benefits.
• Benefits include comprehensive health, dental, and vision coverage; retirement benefits; a learning and development stipend; generous paid time off; and potentially a commuter stipend.