🛠 Tech Stack

💼 About This Role

You'll join a small, high-velocity Agents team to architect and operate production AI data and evaluation systems. You will own the full trace → dataset → evaluation → optimization lifecycle that controls model quality and safety. This role offers high autonomy and direct access to the latest AI models.

🎯 What You'll Do

• Architect and operate telemetry ingestion and trace systems at production scale
• Define dataset versioning and data modeling standards for AI evaluation
• Design and enforce evaluation gates that protect model quality in production
• Own the reliability, observability, and performance of data and evaluation pipelines

📋 Requirements

• Significant production data engineering experience in AI or ML-driven systems
• Deep experience with AWS or GCP data infrastructure and distributed systems
• Proven ownership of dataset versioning, schema evolution, and data modeling strategy for AI workloads
• Experience building and operating evaluation pipelines for LLM/VLM or other AI systems
• Strong telemetry, tracing, and observability experience for production AI systems

✨ Nice to Have

• Experience building ML training or feedback pipelines in production
• Experience diagnosing and mitigating LLM failure modes (hallucination, drift, eval instability)
• Experience working in a small, high-velocity startup or AI-first environment

🎁 Benefits & Perks

• 🏖️ Flexible work where the role allows
• 💰 Meaningful equity for all full-time permanent employees
• 🏥 Fully paid health & dental with no waiting period
• 💪 Monthly wellness reimbursement for fitness or mental health
• 📈 Growth through merit based on contribution and initiative

📨 Hiring Process

Intro call with Talent Team, interview with Hiring Manager, role-relevant task, final cross-functional interviews, then offer.