Senior Full-Stack AI Engineer (LLM Infrastructure and Systems) Offline

We are looking for a Full-Stack AI Engineer to help us build, deploy, and operate AI-powered systems — from infrastructure and backend services to LLM/VLM integration in production.

Our product focuses on home monitoring and smart-home safety (water leaks, appliance failures, HVAC issues, abnormal humidity, and other environmental risks).

Fully remote role in a strong engineering team.

What You Will Do

• Deploy and operate LLM/VLM models (cloud and on-prem).
• Configure inference services with a focus on stability and performance.
• Build and maintain RAG pipelines and AI agents.
• Work with modern AI frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, Autogen).
• Develop backend services in Python and integrate AI into APIs.
• Configure and support Linux servers, networking, and reverse proxies (e.g. Nginx).
• Containerize services with Docker and support CI/CD workflows.
• Monitor, debug, and improve reliability of AI and backend systems.

Requirements

• Experience working with LLM-based systems in practice.
• Strong Python skills.
• Hands-on experience with:
  • AI agents or RAG systems
  • Docker, Linux, Git
• General understanding of:
  • Machine learning fundamentals
  • Model fine-tuning and evaluation
  • Basic cybersecurity principles

Kubernetes, advanced DevOps tools, and IoT experience are a plus, not required.

Nice to Have

• Experience with IoT or smart-home systems.
• Familiarity with sensor-based monitoring.
• Knowledge of Z-Wave or ZigBee.

What We Offer

• Fully remote work with flexible hours.
• Modern AI stack and real production challenges.
• Opportunity to influence AI infrastructure and product direction.
• Long-term collaboration in a well-organized engineering team.