🛠 Tech Stack

💼 About This Role

You'll build LLM-powered agent systems that turn competitive data into actionable intelligence. You'll ship backend code for retrieval, ranking, and agent workflows from day one. This role offers hands-on mentorship and growth into larger ownership.

🎯 What You'll Do

• Ship backend code powering AI agents and services.
• Improve retrieval and ranking with senior engineers.
• Write and run evaluations for agent performance.
• Optimize LLM workflows and improve reliability.

📋 Requirements

• Production software engineering experience at one prior role.
• Strong Python skills with modern features and frameworks.
• Curiosity about LLMs, RAG, and agentic systems with hands-on exposure.
• Solid CS fundamentals including HTTP, databases, and distributed systems.

✨ Nice to Have

• Hands-on experience with Elasticsearch, vector DBs, or Temporal.
• Exposure to MLOps tooling like Logfire or Langfuse.
• Side project or open-source contribution involving LLMs or retrieval.

🎁 Benefits & Perks

• 💰 Competitive compensation with equity.
• 🏥 Health benefits (not specified fully, inferred from industry standard).
• 🚀 Growth opportunities with mentorship and ownership track.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Interview· 60 min