🛠 Tech Stack

💼 About This Role

You'll design backend systems for agentic workflows and own core infrastructure like context memory and orchestration layers at Everest, a company redefining elite executive assistance. You'll optimize latency and reliability of multi-agent pipelines and help make clear decisions on when to use AI. This is a remote-first role with a high-performing team.

🎯 What You'll Do

• Design and implement backend systems for agentic workflows.
• Own core infrastructure like context memory and prompt routing.
• Optimize latency, reliability, and inference cost of pipelines.
• Develop GraphRAG knowledge retrieval systems using Neo4j.

📋 Requirements

• 5+ years of experience in backend software engineering.
• Shipped agentic LLM systems to production.
• Built real-time systems or distributed async queues.
• Deep understanding of prompt engineering and context management.

✨ Nice to Have

• Experience with RAG, embedding stores, and vector DBs.
• Familiarity with tool orchestration frameworks.
• Background in AI safety or human-in-the-loop workflows.

🎁 Benefits & Perks

• 💰 Competitive salary and meaningful equity.
• 🏥 Medical, dental, vision healthcare benefits.
• 🏖️ Flexible PTO policy.
• 💻 Remote-first culture.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min