# Senior AI Engineer at Guidepoint

- Company: Guidepoint
- Status: Open
- Workplace: On-site
- Location: Toronto, Ontario, Canada
- Level: Senior
- Discipline: AI & ML
- Employment: Full-time
- Salary: CA$175K–210K
- Posted: 2026-10-05
- Skills: LLM, conversational AI
- Apply: https://job-boards.greenhouse.io/guidepoint/jobs/8859975002

## Description

Overview: 
 Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets.
 You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership.
 This role is hybrid in our Toronto Office 
 What You'll Do: 
• Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure.
• LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts.
• Multi-channel session management: stateful user interactions that move seamlessly across channels.
• Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back.
• Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes.
• Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads.
• Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors.
• Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases

More Guidepoint roles: https://deviantjobs.com/companies/guidepoint