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Senior AI Engineer

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Senior AI Engineer in Canada

  • Guidepoint
  • Full time
  • Email
  • Toronto

Responsibilities

  • Build real-time voice- and chat-based conversational AI agents with low-latency requirements.
  • Develop agentic LLM orchestration, multi-channel session management, retrieval and grounding, and structured data flows.
  • Design and tune LLM pipelines, including context engineering, structured outputs, model selection, and cost/latency tradeoffs.
  • Build evaluation infrastructure, define quality metrics, run experiments, and gate releases based on measured results.
  • Design, implement, deploy, and operate services using Kubernetes and Azure, including latency-sensitive workloads.
  • Integrate third-party AI and voice vendors behind maintainable abstractions.
  • Partner with product and compliance stakeholders to encode domain rules into systems.
  • Establish engineering practices including code review, observability, and incident response habits.

Requirements

  • 6+ years of software engineering experience.
  • 2+ years building production LLM-powered products, including orchestration, retrieval-augmented generation/grounding, structured outputs, and evaluation-driven iteration.
  • Strong TypeScript or Python skills and comfort working across both.
  • Experience with real-time or streaming systems such as WebSockets, WebRTC, or audio pipelines.
  • Cloud-native production experience with containers, Kubernetes, CI/CD, and observability; Azure experience is a plus.
  • Familiarity with LangGraph, LangChain, or CrewAI, with hands-on exposure sufficient.
  • Working familiarity with vector databases and embedding-based retrieval.
  • Pragmatic product judgment and experience scoping prototypes, evaluating approaches with data, and shipping.
  • Nice-to-have experience with telephony platforms, conversational agent frameworks, speech-to-text/text-to-speech, turn-taking or voice activity detection, knowledge graphs, large-scale search/retrieval, regulated domains, evaluation harnesses, or LLM-as-judge systems.

Benefits

  • Hybrid work in the Toronto office.
  • Paid time off.
  • Comprehensive benefits plan.
  • Company RRSP match.
  • Development opportunities through LinkedIn Learning.

Guidepoint

Guidepoint provides on-demand expert consultations, surveys, events, and custom research that help investors, consultants, and corporate teams make informed decisions. It operates a large global network of subject-matter experts and offers access via subscriptions and project-based engagements. F...

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