🛠 Tech Stack

💼 About This Role

You'll join a GenAI Infrastructure team to build production-grade GenAI capabilities and the infrastructure behind them. You'll design and implement AI agents, RAG pipelines, and backend services that power customer-facing AI experiences. This role focuses on hands-on software engineering rather than model research.

🎯 What You'll Do

• Build reusable infrastructure, SDKs, and internal frameworks for AI-powered capabilities
• Design and implement AI agents, RAG flows, and LLM orchestration pipelines
• Build production-grade GenAI services, APIs, and backend infrastructure
• Implement evaluation, tracing, monitoring, and quality-control for GenAI systems

📋 Requirements

• 6+ years of professional software engineering experience
• Strong Python development skills
• Strong backend engineering background including APIs, services, or microservices
• Proven experience designing, shipping, or operating LLM-powered applications or GenAI systems

✨ Nice to Have

• Experience with LangChain, LangGraph, or LangSmith
• Experience with Go, MongoDB, Databricks, Kubernetes, Docker
• Experience with Azure OpenAI, Gemini, or similar LLM platforms

🎁 Benefits & Perks

• 📈 Stock options
• 👶 Paid parental leave
• 🏖️ Flex PTO

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site Interviews· 4 hours