Senior AI Engineer

📋 Description

• Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on
• LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard
• Multi-channel session management: stateful user interactions across channels.
• Retrieval and grounding: connecting LLM systems to large internal knowledge assets
• Evaluation infrastructure: measuring conversational quality against human baselines and gating
• Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations.

🎯 Requirements

• 6+ years of software engineering, with 2+ years building LLM-powered products in production
• Strong TypeScript or Python
• Real-time or streaming systems experience: WebSockets, WebRTC, audio pipelines, or comparable
• Cloud-native production experience: containers, Kubernetes, CI/CD, observability. Azure a plus
• Familiarity with agent/LLM frameworks such as LangGraph, LangChain, or CrewAI
• Working familiarity with vector databases and embedding-based retrieval

🎁 Benefits

• Paid time off
• Comprehensive benefits plan
• Company RRSP match
• Development opportunities through the LinkedIn Learning platform