🛠 Tech Stack

💼 About This Role

You'll own the inference and orchestration layer powering every AI interaction, building production systems that turn model capability into fast, stable APIs. Your work directly impacts latency, reliability, and user experience across mobile and desktop clients.

🎯 What You'll Do

• Build and operate backend systems serving AI features in production.
• Design inference pipelines, orchestration layers, and service boundaries.
• Own monitoring, logging, alerting, and incident response.
• Optimize latency through caching, batching, and streaming.

📋 Requirements

• Backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
• Comfortable debugging distributed systems under load.

✨ Nice to Have

• Experience with Kubernetes and Docker in production.
• Background in ML or data engineering.
• Experience with OpenAI or Anthropic APIs.

🎁 Benefits & Perks

• 🌍 Remote-first work environment.
• ⚡ High talent density team with rapid shipping culture.
• 📈 Learning from production behavior.
• 🎯 Ownership over critical AI infrastructure.

📨 Hiring Process

3-4 rounds: technical evaluation, virtual/onsite interviews, prompt decision.