Role responsibilities
The Senior AI Engineer will own and drive the quality, reliability, and evolution of AI systems in production, ensuring end-to-end delivery of major AI features. Responsibilities include managing AI output quality, designing AI workflows, and integrating multiple LLM providers.
Requirements
Candidates should have 6+ years of backend/full-stack software engineering experience, including 2+ years building AI/LLM systems in production. Deep hands-on experience with LLM APIs and a solid understanding of Redis and relational databases is also required.
Key skills
AI Systems Ownership, Feature Delivery, Prompt Engineering, Experimentation, TypeScript, Node.js, Next.js, LLM Systems, Langfuse, OpenRouter, Redis, Python, Agentic AI, Multi-agent Orchestration, Tool-based Workflows, Observability Tools
Keywords
AI Engineer, AI Systems, Feature Delivery, TypeScript, Node.js, Next.js, LLM Systems, Langfuse, OpenRouter, Redis, Python, Agentic AI, Multi-agent Orchestration, Tool-based Workflows, Observability Tools, A/B Testing, Production Stability, Data-driven Experimentation, Backend Logic, Error Handling, Request Validation, Fallback Flows, Testing, Code Reviews, Engineering Standards, Production Performance, Technical Quality, MCP, Cloudflare Workers, Payments