🛠 Tech Stack

💼 About This Role

You'll contribute to AI evaluation pipelines and infrastructure for a people success platform. Your work will ensure reliable, high-quality AI experiences for customers. You'll have the chance to shape AI quality systems in a collaborative environment.

🎯 What You'll Do

• Contribute to AI evaluation pipelines and feedback systems
• Implement and maintain performance metrics using established frameworks
• Write clean, maintainable Python code with LLM providers
• Support improvements to system reliability and observability

📋 Requirements

• 2–5 years of professional software engineering experience
• Proficiency in Python or similar language
• Strong understanding of LLM concepts (prompting, RAG, evaluation)
• Familiarity with backend systems, APIs, and cloud environments

✨ Nice to Have

• Hands-on experience with LLMs, prompt iteration, or MLOps
• Familiarity with vector databases or retrieval systems
• Exposure to experimentation, metrics, or basic statistical analysis

🎁 Benefits & Perks

• 🏖️ Medical and Dental insurance
• 💰 Stock options
• 🌍 Working Remotely Stipend
• 📚 Learning Development Budget
• 👶 Paid Parental Leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interviews· 3 hours