Senior AI Engineer

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.…